机械手设计英文参考文献原文翻译
多自由度机械手毕业论文中英文资料外文翻译文献
毕业论文中英文资料外文翻译文献专业机械设计制造及其自动化课题多自由度机械手机械设计英文原文Automated Tracking and Grasping of a Moving Object with a RoboticHand-Eye SystemAbstractMost robotic grasping tasks assume a stationary or fixed object. In this paper, we explore the requirements for tracking and grasping a moving object. The focus of our work is to achieve a high level of interaction between a real-time vision system capable of tracking moving objects in 3-D and a robot arm with gripper that can be used to pick up a moving object. There is an interest in exploring the interplay of hand-eye coordination for dynamic grasping tasks such as grasping of parts on a moving conveyor system, assembly of articulated parts, or for grasping from a mobile robotic system. Coordination between an organism's sensing modalities and motor control system is a hallmark of intelligent behavior, and we are pursuing the goal of building an integrated sensing and actuation system that can operate in dynamic as opposed to static environments.The system we have built addresses three distinct problems in robotic hand-eye coordination for grasping moving objects: fast computation of 3-D motion parameters from vision, predictive control of a moving robotic arm to track a moving object, and interception and grasping. The system is able to operate at approximately human arm movement rates, and experimental results in which a moving model train is tracked is presented, stably grasped, and picked up by the system. The algorithms we have developed that relate sensing to actuation are quite general and applicable to a variety of complex robotic tasks that require visual feedback for arm and hand control.I. INTRODUCTIONThe focus of our work is to achieve a high level of interaction between real-time vision systems capable of tracking moving objects in 3-D and a robot arm equipped with a dexterous hand that can be used to intercept, grasp, and pick up a movingobject. We are interested in exploring the interplay of hand-eye coordination for dynamic grasping tasks such as grasping of parts on a moving conveyor system, assembly of articulated parts, or for grasping from a mobile robotic system. Coordination between an organism's sensing modalities and motor control system is a hallmark of intelligent behavior, and we are pursuing the goal of building an integrated sensing and actuation system that can operate in dynamic as opposed to static environments.There has been much research in robotics over the last few years that address either visual tracking of moving objects or generalized grasping problems. However, there have been few efforts that try to link the two problems. It is quite clear that complex robotic tasks such as automated assembly will need to have integrated systems that use visual feedback to plan, execute, and monitor grasping.The system we have built addresses three distinct problems in robotic hand-eye coordination for grasping moving objects: fast computation of 3-D motion parameters from vision, predictive control of a moving robotic arm to track a moving object, and interception and grasping. The system is able to operate at approximately human arm movement rates, using visual feedback to track, intercept, stably grasp, and pick up a moving object. The algorithms we have developed that relate sensing to actuation are quite general and applicable to a variety of complex robotic tasks that require visual feedback for arm and hand control.Our work also addresses a very fundamental and limiting problem that is inherent in building integrated sensing actuation systems; integration of systems with different sampling and processing rates. Most complex robotic systems are actually amalgams of different processing devices, connected by a variety of methods. For example, our system consists of three separate computation systems: a parallel image processing computer; a host computer that filters, triangulates, and predicts 3-D position from the raw vision data; and a separate arm control system computer that performs inverse kinematic transformations and joint-level servicing. Each of these systems has its own sampling rate, noise characteristics, and processing delays, which need to be integrated to achieve smooth and stable real-time performance. In our case, this involves overcoming visual processing noise and delays with a predictive filter basedupon a probabilistic analysis of the system noise characteristics. In addition, real-time arm control needs to be able to operate at fast servo rates regardless of whether new predictions of object position are available.The system consists of two fixed cameras that can image a scene containing a moving object (Fig. 1). A PUMA-560 with a parallel jaw gripper attached is used to track and pick up the object as it moves (Fig. 2). The system operates as follows:1) The imaging system performs a stereoscopic optic-flow calculation at each pixel in the image. From these optic-flow fields, a motion energy profile is obtained that forms the basis for a triangulation that can recover the 3-D position of a moving object at video rates.2) The 3-D position of the moving object computed by step 1 is initially smoothed to remove sensor noise, and a nonlinear filter is used to recover the correct trajectory parameters which can be used for forward prediction, and the updated position is sent to the trajectory-planner/arm-control system.3) The trajectory planner updates the joint-level servos of the arm via kinematic transform equations. An additional fixed-gain filter is used to provide servo-level control in case of missed or delayed communication from the vision and filtering system.4) Once tracking is stable, the system commands the arm to intercept the moving object and the hand is used to grasp the object stably and pick it up.The following sections of the paper describe each of these subsystems in detail along with experimental results.П. PREVIOUS WORKPrevious efforts in the areas of motion tracking and real-time control are too numerous to exhaustively list here. We instead list some notable efforts that have inspired us to use similar approaches. Burt et al. [9] have focused on high-speed feature detection and hierarchical scaling of images in order to meet the real-time demands of surveillance and other robotic applications. Related work has been reported by. Lee and Wohn [29] and Wiklund and Granlund [43] who uses image differencing methods to track motion. Corke, Paul, and Wohn [13] report afeature-based tracking method that uses special-purpose hardware to drive a servocontroller of an arm-mounted camera. Goldenberg et al. [16] have developed a method that uses temporal filtering with vision hardware similar to our own. Luo, Mullen, and Wessel [30] report a real-time implementation of motion tracking in 1-D based on Horn and Schunk’s method. Vergheseetul. [41] Report real-time short-range visual tracking of objects using a pipelined system similar to our own. Safadi [37] uses a tracking filter similar to our own and a pyramid-based vision system, but few results are reported with this system. Rao and Durrant-Whyte [36] have implemented a Kalman filter-based decentralized tracking system that tracks moving objects with multiple cameras. Miller [31] has integrated a camera and arm for a tracking task where the emphasis is on learning kinematic and control parameters of the system. Weiss et al. [42] also use visual feedback to develop control laws for manipulation. Brown [8] has implemented a gaze control system that links a robotic “head” containing binocular cameras with a servo controller that allows one to maintain a fixed gaze on a moving object. Clark and Ferrier [12] also have implemented a gaze control system for a mobile robot. A variation of the tracking problems is the case of moving cameras. Some of the papers addressing this interesting problem are [9], [15], [44], and [18].The majority of literature on the control problems encountered in motion tracking experiments is concerned with the problem of generating smooth, up-to-date trajectories from noisy and delayed outputs from different vision algorithms.Our previous work [4] coped with that problem in a similar way as in [38], using an cy- p - y filter, which is a form of steady-state Kalman filter. Other approaches can be found in papers by [33], [34], [28], [6]. In the work of Papanikolopoulos et al. [33], [34], visual sensors are used in the feedback loop to perform adaptive robotic visual tracking. Sophisticated control schemes are described which combine a Kalman filter’s estimation and filtering power with an optimal (LQG) controller which computes the robot’s motion. The vision system uses an optic-flow computation based on the SSD (sum of squared differences) method which, while time consuming, appears to be accurate enough for the tracking task. Efficient use of windows in the image can improve the performance of this method. The authors have presented good tracking results, as well as stated that the controller is robust enough so the use ofmore complex (time-varying LQG) methods is not justified. Experimental results with the CMU Direct Drive Arm П show that the methods are quite accurate, robust, and promising.The work of Lee and Kay [28] addresses the problem of uncertainty of cameras in the robot’s coordinate frame. The fact that cameras have to be strictly fixed in robot’s frame might be quite annoying since each time they are (most often incidentally) displaced; one has to undertake a tedious job of their recalibration. Again, the estimation of the moving object’s position and orientation is done in the Cartesian space and a simple error model is assumed. Andersen et al. [6] adopt a 3rd-order Kalman filter in order to allow a robotic system (consisting of two degrees of freedom) to play the labyrinth game. A somewhat different approach has been explored in the work of Houshangi [24] and Koivo et al. [27]. In these works, the autoregressive (AR) and auto grassier moving-average with exogenous input (ARMAX) models are investigated for visual tracking.Ш. VISION SYSTEMIn a visual tracking problem, motion in the imaging system has to be translated into 3-D scene motion. Our approach is to initially compute local optic-flow fields that measure image velocity at each pixel in the image. A variety of techniques for computing optic-flow fields have been used with varying results includingmatching-based techniques [5], [ 10], [39], gradient-based techniques [23], [32], [ 113, and patio-temporal, energy methods [20], [2]. Optic-flow was chosen as the primitive upon which to base the tracking algorithm for the following reasons.·The ability to track an object in three dimensions implies that there will be motion across the retinas (image planes) that are imaging the scene. By identifying this motion in each camera, we can begin to find the actual 3-D motion.·The principal constraint in the imaging process is high computational speed to satisfy the update process for the robotic arm parameters. Hence, we needed to be able to compute image motion quickly and robustly. The Hom-Schunck optic-flow algorithm (described below) is well suited for real-time computation on our PIPE image processing engine.·We have developed a new framework for computing optic-flow robustly using anestimation-theoretic framework [40]. While this work does not specifically use these ideas, we have future plans to try to adapt this algorithm to such a framework.Our method begins with an implementation of the Horn-Schunck method of computing optic-flow [22]. The underlying assumption of this method is theoptic-flow constraint equation, which assumes image irradiance at time t and t+σt will be the same:If we expand this constraint via a Taylor series expansion, and drop second- and higher-order terms, we obtain the form of the constraint we need to compute normal velocity:Where u and U are the velocities in image space, and Ix, Iy,and It are the spatial and temporal derivatives in the image. This constraint limits the velocity field in an image to lie on a straight line in velocity space. The actual velocity cannot be determined directly from this constraint due to the aperture problem, but one can recover the component of velocity normal to this constraint lineA second, iterative process is usually employed to propagate velocities in image neighborhoods, based upon a variety of smoothness and heuristic constraints. These added neighborhood constraints allow for recovery of the actual velocities u,v in the image. While computationally appealing, this method of determining optic-flow has some inherent problems. First, the computation is done on a pixel-by-pixel basis, creating a large computational demand. Second, the information on optic flow is only available in areas where the gradients defined above exist.We have overcome the first of these problems by using the PIPE image processor [26], [7]. The PIPE is a pipelined parallel image processing computer capable of processing 256 x 256 x 8 bit images at frame rate speeds, and it supports the operations necessary for optic-flow computation in a pixel parallel method (a typical image operation such as convolution, warping, addition subtraction of images can be done in one cycle-l/60 s).The second problem is alleviated by our not needing to know the actual velocities in the image. What we need is the ability to locate and quantify gross image motion robustly. This rules out simple differencing methodswhich are too prone to noise and will make location of image movement difficult. Hence, a set of normal velocities at strong gradients is adequate for our task, precluding the need to iteratively propagate velocities in the image.A. Computing Normal Optic-Flow in Real-TimeOur goal is to track a single moving object in real time. We are using two fixed cameras that image the scene and need to report motion in 3-D to a robotic arm control program. Each camera is calibrated with the 3-D scene, but there is no explicit need to use registered (i.e., scan-line coherence) cameras. Our method computes the normal component of optic-flow for each pixel in each camera image, finds a centurion of motion energy for each image, and then uses triangulation to intersect the back-projected centurions of image motion in each camera. Four processors are used in parallel on the PIPE. The processors are assigned as four per camera-two each for the calculation of X and Y motion energy centurions in each image. We also use a special processor board (ISMAP) to perform real-time histogram. The steps below correspond to the numbers in Fig. 3.1) The camera images the scene and the image is sent to processing stages in the PIPE.2) The image is smoothed by convolution with a Gaussian mask. The convolution operator is a built-in operation in the PIPE and it can be performed in one frame cycle. 3-4) In the next two cycles, two more images are read in, smoothed and buffered, yielding smoothed images Io and I1 and I2.The ability to buffer and pipeline images allows temporal operations on images, albeit at the cost of processing delays (lags) on output. There are now three smoothed images in the PIPE, with the oldest image lagging by 3/60 s.5) Images Io and I2, are subtracted yielding the temporal derivative It.6) In parallel with step 5, image I1is convolved with a 3 x 3 horizontal spatial gradient operator, returning the discrete form of I,. In parallel, the vertical spatial gradient is calculated yielding I, (not shown).7-8)The results from steps 5 and 6 are held in buffers and then are input to alook-up table that divides the temporal gradient at each pixel by the absolute value of the summed horizontal and vertical spatial gradients [which approximates thedenominator in (3)]. This yields the normal velocity in the image at each pixel. These velocities are then threshold and any isolated (i.e., single pixel motion energy) blobs are morphologically eroded. The above threshold velocities are then encoded as gray value 255. In our experiments, we threshold all velocities below 10 pixels per 60 ms to zero velocity.9-10) In order to get the centurion of the motion information, we need the X and Y coordinates of the motion energy. For simplicity, we show only the situation for the X coordinate. The gray-value ramp in Fig. 3 is an image that encodes the horizontal coordinate value (0-255) for each point in the image as a gray value.Thus, it is an image that is black (0) at horizontal pixel 0 and white (255) at horizontal pixel 255. If we logically and each pixel of the above threshold velocity image with the ramp image, we have an image which encodes high velocity pixels with their positional coordinates in the image, and leaves pixels with no motion at zero.11) By taking this result and histogram it, via a special stage of the PIPE which performs histograms at frame rate speeds, we can find the centurion of the moving object by finding the mean of the resulting histogram. Histogram the high-velocity position encoded images yields 256 16-bit values (a result for each intensity in the image). These 256 values can be read off the PIPE via a parallel interface in about 10 ms. This operation is performed in parallel to find the moving object’s Y censored (and in parallel for X and Y centurions for camera 2). The total associated delay time for finding the censored of a moving object becomes 15 cycles or 0.25 s.The same algorithm is run in parallel on the PIPE for the second camera. Once the motion centurions are known for each camera, they are back-projected into the scene using the camera calibration matrices and triangulated to find the actual 3-D location of the movement. Because of the pipelined nature of the PIPE, a new X or Y coordinate is produced every 1/60 s with this delay. While we are able to derive 3-D position from motion stereo at real-time rates, there are a number of sources of noise and error inherent in the vision system. These include stereo triangulation error, moving shadow s which are interpreted as object motion (we use no special lighting in the scene), and small shifts in censored alignments due to the different viewing angles of the cameras, which have a large baseline. The net effect of this is to create a 3-Dposition signal that is accurate enough for gross-level object tracking, but is not sufficient for the smooth and highly accurate tracking required for grasping the object.英文翻译自动跟踪和捕捉系统中的机械手系统摘要——许多机器人抓捕任务都被假设在了一个固定的物体上进行。
机械手臂外文文献翻译、中英文翻译、外文翻译
外文出处：《Manufacturing Engineering and Technology—Machining》附件1：外文原文ManipulatorRobot developed in recent decades as high-tech automated production equipment. I ndustrial robot is an important branch of industrial robots. It features can be program med to perform tasks in a variety of expectations, in both structure and performance a dvantages of their own people and machines, in particular, reflects the people's intellig ence and adaptability. The accuracy of robot operations and a variety of environments the ability to complete the work in the field of national economy and there are broad p rospects for development. With the development of industrial automation, there has be en CNC machining center, it is in reducing labor intensity, while greatly improved lab or productivity. However, the upper and lower common in CNC machining processes material, usually still use manual or traditional relay-controlled semi-automatic device . The former time-consuming and labor intensive, inefficient; the latter due to design c omplexity, require more relays, wiring complexity, vulnerability to body vibration inte rference, while the existence of poor reliability, fault more maintenance problems and other issues. Programmable Logic Controller PLC-controlled robot control system for materials up and down movement is simple, circuit design is reasonable, with a stron g anti-jamming capability, ensuring the system's reliability, reduced maintenance rate, and improve work efficiency. Robot technology related to mechanics, mechanics, elec trical hydraulic technology, automatic control technology, sensor technology and com puter technology and other fields of science, is a cross-disciplinary integrated technol ogy.First, an overview of industrial manipulatorRobot is a kind of positioning control can be automated and can be re-programmed to change in multi-functional machine, which has multiple degrees of freedom can be used to carry an object in order to complete the work in different environments. Low wages in China, plastic products industry, although still a labor-intensive, mechanical hand use has become increasingly popular. Electronics and automotive industries thatEurope and the United States multinational companies very early in their factories in China, the introduction of automated production. But now the changes are those found in industrial-intensive South China, East China's coastal areas, local plastic processin g plants have also emerged in mechanical watches began to become increasingly inter ested in, because they have to face a high turnover rate of workers, as well as for the workers to pay work-related injuries fee challenges.With the rapid development of China's industrial production, especially the reform and opening up after the rapid increase in the degree of automation to achieve the wor kpiece handling, steering, transmission or operation of brazing, spray gun, wrenches a nd other tools for processing and assembly operations since, which has more and mor e attracted our attention. Robot is to imitate the manual part of the action, according to a given program, track and requirements for automatic capture, handling or operation of the automatic mechanical devices.In real life, you will find this a problem. In the machine shop, the processing of part s loading time is not annoying, and labor productivity is not high, the cost of producti on major, and sometimes man-made incidents will occur, resulting in processing were injured. Think about what could replace it with the processing time of a tour as long a s there are a few people, and can operate 24 hours saturated human right? The answer is yes, but the robot can come to replace it.Production of mechanical hand can increase the automation level of production and labor productivity; can reduce labor intensity, ensuring product quality, to achieve saf e production; particularly in the high-temperature, high pressure, low temperature, lo w pressure, dust, explosive, toxic and radioactive gases such as poor environment can replace the normal working people. Here I would like to think of designing a robot to be used in actual production.Why would a robot designed to provide a pneumatic power: pneumatic robot refers to the compressed air as power source-driven robot. With pressure-driven and other en ergy-driven comparison have the following advantages: 1. Air inexhaustible, used late r discharged into the atmosphere, does not require recycling and disposal, do not pollu te the environment. (Concept of environmental protection) 2. Air stick is small, the pipeline pressure loss is small (typically less than asphalt gas path pressure drop of one-thousandth), to facilitate long-distance transport. 3. Compressed air of the working pre ssure is low (usually 4 to 8 kg / per square centimeter), and therefore moving the mate rial components and manufacturing accuracy requirements can be lowered. 4. With th e hydraulic transmission, compared to its faster action and reaction, which is one of th e advantages pneumatic outstanding. 5. The air cleaner media, it will not degenerate, n ot easy to plug the pipeline. But there are also places where it fly in the ointment: 1. A s the compressibility of air, resulting in poor aerodynamic stability of the work, resulti ng in the implementing agencies as the precision of the velocity and not easily control led. 2. As the use of low atmospheric pressure, the output power can not be too large; i n order to increase the output power is bound to the structure of the entire pneumatic s ystem size increased.With pneumatic drive and compare with other energy sources drive has the followin g advantages:Air inexhaustible, used later discharged into the atmosphere, without recycling and disposal, do not pollute the environment. Accidental or a small amount of leakage wo uld not be a serious impact on production. Viscosity of air is small, the pipeline pressu re loss also is very small, easy long-distance transport.The lower working pressure of compressed air, pneumatic components and therefor e the material and manufacturing accuracy requirements can be lowered. In general, re ciprocating thrust in 1 to 2 tons pneumatic economy is better.Compared with the hydraulic transmission, and its faster action and reaction, which is one of the outstanding merits of pneumatic.Clean air medium, it will not degenerate, not easy to plug the pipeline. It can be saf ely used in flammable, explosive and the dust big occasions. Also easy to realize auto matic overload protection.Second, the composition, mechanical handRobot in the form of a variety of forms, some relatively simple, some more complic ated, but the basic form is the same as the composition of the , Usually by the implem enting agencies, transmission systems, control systems and auxiliary devices composed.1.Implementing agenciesManipulator executing agency by the hands, wrists, arms, pillars. Hands are crawlin g institutions, is used to clamp and release the workpiece, and similar to human finger s, to complete the staffing of similar actions. Wrist and fingers and the arm connecting the components can be up and down, left, and rotary movement. A simple mechanical hand can not wrist. Pillars used to support the arm can also be made mobile as needed .2. TransmissionThe actuator to be achieved by the transmission system. Sub-transmission system c ommonly used manipulator mechanical transmission, hydraulic transmission, pneuma tic and electric power transmission and other drive several forms.3. Control SystemManipulator control system's main role is to control the robot according to certain p rocedures, direction, position, speed of action, a simple mechanical hand is generally not set up a dedicated control system, using only trip switches, relays, control valves a nd circuits can be achieved dynamic drive system control, so that implementing agenc ies according to the requirements of action. Action will have to use complex program mable robot controller, the micro-computer control.Three, mechanical hand classification and characteristicsRobots are generally divided into three categories: the first is the general machinery does not require manual hand. It is an independent not affiliated with a particular host device. It can be programmed according to the needs of the task to complete the oper ation of the provisions. It is characterized with ordinary mechanical performance, also has general machinery, memory, intelligence ternary machinery. The second category is the need to manually do it, called the operation of aircraft. It originated in the atom, military industry, first through the operation of machines to complete a particular job, and later developed to operate using radio signals to carry out detecting machines suc h as the Moon. Used in industrial manipulator also fall into this category. The third cat egory is dedicated manipulator, the main subsidiary of the automatic machines or automatic lines, to solve the machine up and down the workpiece material and delivery. T his mechanical hand in foreign countries known as the "Mechanical Hand", which is t he host of services, from the host-driven; exception of a few outside the working proc edures are generally fixed, and therefore special.Main features:First, mechanical hand (the upper and lower material robot, assembly robot, handlin g robot, stacking robot, help robot, vacuum handling machines, vacuum suction crane, labor-saving spreader, pneumatic balancer, etc.).Second, cantilever cranes (cantilever crane, electric chain hoist crane, air balance th e hanging, etc.)Third, rail-type transport system (hanging rail, light rail, single girder cranes, doubl e-beam crane)Four, industrial machinery, application of handManipulator in the mechanization and automation of the production process develo ped a new type of device. In recent years, as electronic technology, especially comput er extensive use of robot development and production of high-tech fields has become a rapidly developed a new technology, which further promoted the development of ro bot, allowing robot to better achieved with the combination of mechanization and auto mation.Although the robot is not as flexible as staff, but it has to the continuous duplication of work and labor, I do not know fatigue, not afraid of danger, the power snatch weig ht characteristics when compared with manual large, therefore, mechanical hand has b een of great importance to many sectors, and increasingly has been applied widely, for example:(1) Machining the workpiece loading and unloading, especially in the automatic lat he, combination machine tool use is more common.(2) In the assembly operations are widely used in the electronics industry, it can be used to assemble printed circuit boards, in the machinery industry It can be used to ass emble parts and components.(3) The working conditions may be poor, monotonous, repetitive easy to sub-fatigue working environment to replace human labor.(4) May be in dangerous situations, such as military goods handling, dangerous go ods and hazardous materials removal and so on..(5) Universe and ocean development.(6), military engineering and biomedical research and testing.Help mechanical hands: also known as the balancer, balance suspended, labor-saving spreader, manual Transfer machine is a kind of weightlessness of manual load system, a novel, time-saving technology for material handling operations booster equipment, belonging to kinds of non-standard design of series products. Customer application ne eds, creating customized cases. Manual operation of a simulation of the automatic ma chinery, it can be a fixed program draws ﹑ handling objects or perform household to ols to accomplish certain specific actions. Application of robot can replace the people engaged in monotonous ﹑ repetitive or heavy manual labor, the mechanization and a utomation of production, instead of people in hazardous environments manual operati on, improving working conditions and ensure personal safety. The late 20th century, 4 0, the United States atomic energy experiments, the first use of radioactive material ha ndling robot, human robot in a safe room to manipulate various operations and experi mentation. 50 years later, manipulator and gradually extended to industrial production sector, for the temperatures, polluted areas, and loading and unloading to take place t he work piece material, but also as an auxiliary device in automatic machine tools, ma chine tools, automatic production lines and processing center applications, the comple tion of the upper and lower material, or From the library take place knife knife and so on according to fixed procedures for the replacement operation. Robot body mainly b y the hand and sports institutions. Agencies with the use of hands and operation of obj ects of different occasions, often there are clamping ﹑ support and adsorption type of care. Movement organs are generally hydraulic pneumatic ﹑﹑ electrical device dri vers. Manipulator can be achieved independently retractable ﹑ rotation and lifting m ovements, generally 2 to 3 degrees of freedom. Robots are widely used in metallurgic al industry, machinery manufacture, light industry and atomic energy sectors.Can mimic some of the staff and arm motor function, a fixd procedure for the capture, handling objects or operating tools, automatic operation device. It can replace hum an labor in order to achieve the production of heavy mechanization and automation th at can operate in hazardous environments to protect the personal safety, which is wide ly used in machinery manufacturing, metallurgy, electronics, light industry and nuclea r power sectors. Mechanical hand tools or other equipment commonly used for additio nal devices, such as the automatic machines or automatic production line handling an d transmission of the workpiece, the replacement of cutting tools in machining centers , etc. generally do not have a separate control device. Some operating devices require direct manipulation by humans; such as the atomic energy sector performs household hazardous materials used in the master-slave manipulator is also often referred to as m echanical hand.Manipulator mainly by hand and sports institutions. Task of hand is holding the wor kpiece (or tool) components, according to grasping objects by shape, size, weight, mat erial and operational requirements of a variety of structural forms, such as clamp type, type and adsorption-based care such as holding. Sports organizations, so that the com pletion of a variety of hand rotation (swing), mobile or compound movements to achie ve the required action, to change the location of objects by grasping and posture. Robot is the automated production of a kind used in the process of crawling and mo ving piece features automatic device, which is mechanized and automated production process developed a new type of device. In recent years, as electronic technology, esp ecially computer extensive use of robot development and production of high-tech fiel ds has become a rapidly developed a new technology, which further promoted the dev elopment of robot, allowing robot to better achieved with the combination of mechani zation and automation. Robot can replace humans completed the risk of duplication of boring work, to reduce human labor intensity and improve labor productivity. Manipu lator has been applied more and more widely, in the machinery industry, it can be use d for parts assembly, work piece handling, loading and unloading, particularly in the a utomation of CNC machine tools, modular machine tools more commonly used. At pr esent, the robot has developed into a FMS flexible manufacturing systems and flexibl e manufacturing cell in an important component of the FMC. The machine tool equipment and machinery in hand together constitute a flexible manufacturing system or a f lexible manufacturing cell, it was adapted to small and medium volume production, y ou can save a huge amount of the work piece conveyor device, compact, and adaptabl e. When the work piece changes, flexible production system is very easy to change wi ll help enterprises to continuously update the marketable variety, improve product qua lity, and better adapt to market competition. At present, China's industrial robot techno logy and its engineering application level and comparable to foreign countries there is a certain distance, application and industrialization of the size of the low level of robo t research and development of a direct impact on raising the level of automation in Ch ina, from the economy, technical considerations are very necessary. Therefore, the stu dy of mechanical hand design is very meaningful.附件1：外文资料翻译译文机械手机械手是近几十年发展起来的一种高科技自动化生产设备。
铝合金机械手外文资料及中文译文
Aluminum multi-degreeof freedom manipulator Design and ImplementationMechanical hand, is also called from begins, auto hand can imitate the manpower and arm's certain holding function, with by presses the fixed routine to capture, the transporting thing 'OR' operation tool's automatic operation installment. It may replace person's strenuous labor to realize the production mechanization and the automation, can operate under the hostile environment protects the personal safety, thus widely applies in departments and so on machine manufacture, metallurgy, electron, light industry and atomic energy.The manipulator is mainly composed of the hand and the motion. The hand is uses for to grasp holds the work piece (or tool) the part, according to is grasped holds the thing shape, the size, the weight, the material and the work request has many kinds of structural styles, like the clamp, the request hold and the adsorption and so on. The motion, causes the hand to complete each kind of rotation (swinging), the migration or the compound motion realizes the stipulation movement, changes is grasped holds the thing position and the posture. Motion's fluctuation, the expansion, revolving and so on independence movement way, is called manipulator's degree-of-freedom. In order to capture in the space the optional position and the position object, must have 6 degrees-of-freedom. The degree-of-freedom is the key parameter which the manipulator designs. The degree-of-freedom are more, manipulator's flexibility is bigger, the versatility is broader, its structure is also more complex. Generally the special-purpose manipulator has 2~3 degrees-of-freedom.The manipulator's type, may divide into the hydraulic pressure type, the air operated according to the drive type, electromotive type, the mechanical manipulator; May divide into the special-purpose manipulator and the general-purpose manipulator two kinds according to the applicable scope; May divide into the position control and the continuous path according to the path control mode controls the manipulator and so on.The manipulator usually serves as the engine bed or other machine's add-on component, like on the automatic machine or the automatic production line loading and unloading and the transmission work piece, replaces the cutting tool in the machining center and so on, generally does not have the independent control device. Some operating equipment needs by the person direct control, if uses in the host who the atomic energy department manages the dangerous goods from the type operator also often being called the manipulator.Robot is a type of mechantronics equipment which synthesizes the last research achievement of engine and precision engine, micro-electronics and computer, automation control and drive, sensor and message dispose and artificial intelligence and so on. With the development of economic and the demand for automation control, robot technology is developed quickly and all types of the robots products are come into being. The practicality use of robot products not only solves the problems whichare difficult to operate for human being, but also advances the industrial automation program. At present, the research and development of robot involves several kinds of technology and the robot system configuration is so complex that the cost at large is high which to a certain extent limit the robot abroad use. To development economic practicality and high reliability robot system will be value to robot social application and economy development.With the rapid progress with the control economy and expanding of the modern cities, the let of sewage is increasing quickly: With the development of modern technology and the enhancement of consciousness about environment reserve, more and more people realized the importance and urgent of sewage disposal. Active bacteria method is an effective technique for sewage disposal，The lacunaris plastic is an effective basement for active bacteria adhesion for sewage disposal. The abundance requirement for lacunaris plastic makes it is a consequent for the plastic producing with automation and high productivity. Therefore, it is very necessary to design a manipulator that can automatically fulfill the plastic holding.With the analysis of the problems in the design of the plastic holding manipulator and synthesizing the robot research and development condition in recent years, a economic scheme is concluded on the basis of the analysis of mechanical configuration, transform system, drive device and control system and guided by the idea of the characteristic and complex of mechanical configuration, electronic, software and hardware. In this article, the mechanical configuration combines the character of direction coordinate and the arthrosis coordinate which can improve the stability and operation flexibility of the system. The main function of the transmission mechanism is to transmit power to implement department and complete the necessary movement. In this transmission structure, the screw transmission mechanism transmits the rotary motion into linear motion. Worm gear can give vary transmission ratio. Both of the transmission mechanisms have a characteristic of compact structure. The design of drive system often is limited by the environment condition and the factor of cost and technical lever. ''''The step motor can receive digital signal directly and has the ability to response outer environment immediately and has no accumulation error, which often is used in driving system. In this driving system, open-loop control system is composed of stepping motor, which can satisfy the demand not only for control precision but also for the target of economic and practicality. On this basis，the analysis of stepping motor in power calculating and style selecting is also given.The analysis of kinematics and dynamics for object holding manipulator is given in completing the design of mechanical structure and drive system. Kinematics analysis is the basis of path programming and track control. The positive and reverse analysis of manipulator gives the relationship between manipulator space and drive space in position and speed. The relationship bet ween manipulator’s tip position and arthrosis angles is concluded by coordinate transform method. The geometry method is used in solving inverse kinematics problem and the result will provide theory evidence for control system. The f0unction of dynamics is to get the relationship between the movement and force and the target is to satisfy the demand of real time control. in thischamfer, Newton-Euripides method is used in analysis dynamic problem of七he cleaning robot and the arthrosis force and torque are given which provide the foundation for step motor selecting and structure dynamic optimal ting.Control system is the key and core part of the object holding manipulator system design which will direct effect the reliability and practicality of the robot system in the division of configuration and control function and also will effect or limit the development cost and cycle. With the demand of the PCL-839 card, the PC computer which has a. tight structure and is easy to be extended is used as the principal computer cell and takes the function of system initialization, data operation and dispose, step motor drive and error diagnose and so on. A t the same time, the configuration structure features, task principles and the position function with high precision of the control card PCL-839 are analyzed. Hardware is the matter foundation of the control. System and the software is the spirit of the control system. The target of the software is to combine all the parts in optimizing style and to improve the efficiency and reliability of the control system. The software design of the object holding manipulator control system is divided into several blocks such as system initialization block, data process block and error station detect and dispose model and so on. PCL-839 card can solve the communication between the main computer and the control cells and take the measure of reducing the influence of the outer signal to the control system.The start and stop frequency of the step motor is far lower than the maximum running frequency. In order to improve the efficiency of the step motor, the increase and decrease of the speed is must considered when the step motor running in high speed and start or stop with great acceleration. The increase and decrease of the motor’s spee d can be controlled by the pulse frequency sent to the step motor drive with a rational method. This can be implemented either by hardware or by software. A step motor shift control method is proposed, which is simple to calculate, easy to realize and the theory means is straightforward. The motor'''' s acceleration can fit the torque-frequency curve properly with this method. And the amount of calculation load is less than the linear acceleration shift control method and the method which is based on the exponential rule to change speed. The method is tested by experiment.A t last, the research content and the achievement are sum up and the problems and shortages in main the content are also listed. The development and application of robot in the future is expected.多自由度铝合金机械手的设计与实现能模仿人手和臂的某些动作功能，用以按固定程序抓取、搬运物件或操作工具的自动操作装置。
外文翻译--工业机械手-精品
本科毕业论文（设计）相关中英文翻译资料资料题目：工业机械手设计学生姓名：所在院系：机电学院所学专业：机电技术教育完成时间：Industry manipulatorThe industry manipulator is one kind of high tech automation production equipment which the nearly several dozens years develop, the industry manipulator is an industry robot important branch, its characteristic is may complete each kind of anticipated work task through the programming, has at the same time the human and the machine respective merit in the structure and the performance, has manifested human's intelligence and the compatibility especially, in the manipulator work accuracy and each kind of environment completes the work ability, has the broad prospects for development in the national economy various domains, along with the industrial automation development, appeared the numerical control processing center, it while reduces worker's labor intensity, enhanced the labor productivity greatly, butIn numerical control processing common on yummy treats working procedure, usually still used the manual control or the tradition black-white control semiautomatic installment, the former required a lot of work time-consuming, the efficiency is low, because the latter designed complex, had many relays, the wiring to be numerous and diverse, is vibrated easily the chassis the disturbance, but had the reliability badly, the breakdown many, questions and so on service difficulty, the programmable controller PLC control on yummy treats manipulator control system movement simple, the line design reasonable, had the strong antijamming ability, had guaranteed the system movement reliability, reduced the service rate, enhanced the working efficiency.The manipulator technology involves to mechanics, mechanics, the electrical hydraulic pressure technology, the automatic control technology, the sensor technology and the computer technology and so on, is an interdisciplinary comprehensive technology.The manipulator is one kind can automate the localization control and may program the multi-purpose machines which the foreword changes, it has many degrees of freedom, available transports the object to complete in each different environment works.In wage level low China, plastic product profession although still belonged to the labor force intensity, manipulator's use already more and more popularized, these electronic and automobile industry European and American Multinational corporation was very early on is located in China's factory in them to introduce the automated production, but the present change was these distributes in industry crowded South China, East China coastal area Chinese Native place Plastic Processing factory also starts to the mechanical wristwatch to appear the more and more strong interest, because they had to face the worker rate of personnel loss to be high, as well as the halving belt came challenge.Along with our country industrial production leap development, the automaticity rapid enhancement, realization work piece loading and unloading, welding torch, spray gun, trigger tools and so on changes, the transportation or manages carries on work and so on processing, assembly automations, has brought to people's attention increasingly, simultaneously also requests the feeder construction to be more nimble, the flexibility, adapts for delivers the different goods, this enables for the feeding manipulator in the automaton, to obtain the increasingly widespread application from the generatrix in.In the production may enhance the production using the manipulator the automated level and the labor productivity, may reduce the labor intensity, the guarantee product quality, the realization safety in production, the industry manipulator can replace the human in the industrial production to make certain monotonous, frequent and the redundant long time work, perhaps dangerous, under adverse circumstance work, for example in the ramming, the pressure casting, the heat treatment, the welding, the painting, plastic working procedures and so on in product forming, machine-finishing and simple assembly, as well as in departments and so on in atomic-energy industry, completes to the human body harmful material transportingor the craft operation, as well as aspects and so on light industry, transportation shipping industry obtain the more and more widespread application.工业机械手工业机械手是近几十年发展起来的一种高科技自动化生产设备，工业机械手是工业机器人的一个重要分支，它的特点是可通过编程来完成各种预期的作业任务，在构造和性能上兼有人和机器各自的优点，尤其体现了人的智能和适应性，机械手作业的准确性和各种环境中完成作业的能力，在国民经济各领域有着广阔的发展前景，随着工业自动化的发展，出现了数控加工中心,它在减轻工人的劳动强度的同时，大大提高了劳动生产率，但数控加工中常见的上下料工序，通常仍采用人工操作或传统继电器控制的半自动化装置，前者费时费工、效率低，后者因设计复杂，需较多继电器,接线繁杂，易受车体振动干扰，而存在可靠性差、故障多、维修困难等问题，可编程序控制器PLC控制的上下料机械手控制系统动作简便、线路设计合理、具有较强的抗干扰能力，保证了系统运行的可靠性，降低了维修率，提高了工作效率。
工业机械手外文文献翻译、中英文翻译
第一章概述1. 1机械手的发展历史人类在改造自然的历史进程中，随着对材料、能源和信息这三者的认识和用，不断创造各种工具（机器），满足并推动生产力的发展。
工业社会向信息社会发展，生产的自动化，应变性要求越来越高，原有机器系统就显得庞杂而不灵活，这时人们就仿造自身的集体和功能，把控制机、动力机、传动机、工作机综合集中成一体，创造了“集成化”的机器系统——机器人。
从而引起了生产系统的巨大变革，成为“人——机器人——劳动对象”，或者“人——机器人——动力机——工作机——劳动对象”。
机器人技术从诞生到现在，虽然只有短短三十几年的历史，但是它却显示了旺盛的生命力。
近年来，世界上对于发展机器人的呼声更是有增无减，发达国家竞相争先，发展中国家急起直追。
许多先进技术国家已先后把发展机器人技术列入国家计划，进行大力研究。
我国的机器人学的研究也已经起步，并把“机器人开发研究”和柔性制造技术系统和设备开发研究等与机器人技术有关的研究课题列入国家“七五”、“八五”科技发展计划以及“八六三”高科技发展计划。
工业机械手是近代自动控制领域中出现的一项新技术，并已经成为现代机械制造生产系统中的一个重要组成部分。
这种新技术发展很快，逐渐形成一门新兴的学科——机械手工程。
1. 2机械手的发展意义机械手的迅速发展是由于它的积极作用正日益为人们所认识：其一、它能部分地代替人工操作；其二、它能按照生产工艺的要求，遵循一定的程序、时间和位置来完成工件的传送和装卸；其三、它能操作必要的机具进行焊接和装配。
从而大大地改善工人的劳动条件，显著地提高劳动生产率，加快实现工业生产机械化和自动化的步伐。
因而，受到各先进工业国家的重视，投入大量的人力物力加以研究和应用。
近年来随着工业自动化的发展机械手逐渐成为一门新兴的学科，并得到了较快的发展。
机械手广泛地应用于锻压、冲压、锻造、焊接、装配、机加、喷漆、热处理等各个行业。
特别是在笨重、高温、有毒、危险、放射性、多粉尘等恶劣的劳动环境中，机械手由于其显著的优点而受到特别重视。
毕业设计机械手外文翻译
外文翻译译文题目 一种与移动机械臂的部分零件所受载荷相协译文题目调的运动结构（2）原稿题目A kinematically compatible framework for cooperative payload transport by nonholonomic mobile manipulators（2）原稿出处 Auton Robot (2006) 21:227–242 原稿出处A kinematically compatible framework for cooperative payload transport by nonholonomic mobile manipulators （2） M. Abou-Samah 1 , C. P. Tang 2 , R. M. Bhatt 2 and V. Krovi 2(1) MSC Software Corporation, Ann Arbor, MI 48105, USA (2) Mechanical (2) Mechanical and and Aerospace Engineering, State University of of New New York at at Buffalo, Buffalo, Buffalo, NY 14260, USA Received: 5 August 2005 Revised: 25 May 2006 Accepted: 30 May 2006 Published online: 5 September 2006 Abstract In this paper, we examine the development of a kinematically compatible control framework for a modular system of wheeled mobile manipulators that can team up to cooperatively transport a common payload. Each individually autonomous mobile manipulator consists of a differentially-driven Wheeled Mobile Robot (WMR) with a mounted two degree-of-freedom (d.o.f) revolute-jointed, planar and passive manipulator arm. The composite wheeled vehicle, formed by placing a payload at the end-effectors of two (or more) such mobile manipulators, has the capability to accommodate, detect and correct both instantaneous and finite relative configuration errors.The kinematically-compatible motion-planning/control framework developed here is intended to facilitate maintenance of all kinematic (holonomic and nonholonomic) constraints within such systems. Given an arbitrary end-effector trajectory, each individual mobile-manipulator's bi-level hierarchical controller first generates a kinematically- feasible desired trajectory for the WMR base, which is then tracked by a suitable lower-level posture stabilizing controller. Two variants of system-level cooperative control schemes schemes——leader-follower and decentralized control control——are then created based on the individual mobile-manipulator control scheme. Both methods are evaluated within an implementation framework that emphasizes both virtual prototyping (VP) and hardware-in-the-loop (HIL) experimentation. Simulation and experimental results of an example of a two-module system are used to highlight the capabilities of a real-time local sensor-based controller for accommodation, detection and corection of relative formation errors. Keywords Composite system-Hardware-in-the-loop-Mobile manipulator- Physical cooperation-Redundancy resolution-Virtual prototypingKinematic collaborationof two mobilemanipulators We now examine two variants of system-level cooperative control schemes schemes——leader-follower and decentralized control control——that can be created based on the individual mobile-manipulator control scheme.Leader-follower approach The first method of modeling such a system considers the midpoint of the mobile base (MP B) of the mobile-manipulator B to be rigidly attached to the end-effector of mobile manipulator A, as depicted in Fig. 4. Figure 4(b) depictshow the end-effector frame {E } of MP A is rigidly attached to the frame at MP B (separated by a constant rotation angle β).(15)Fig. 4 Schematic diagrams of the leader-follower scheme: (a) the 3-link mobile manipulator under analysis, and (b) the two-module composite system MP B now takes on the role of the leader and can be controlled to follow any trajectory trajectory that that is feasible feasible for for a WMR. Hence, given a trajectory trajectory of of the leader MP B , and the preferred manipulator configuration of, Eq. (5) can be rewritten as:(16)and correspondingly Eqs. (6)and correspondingly Eqs. (6)––(8) as:(17)Thus, the trajectory of the virtual (reference) robot for the follower MP A, and the derived velocities can now bedetermined. determined. This This This forms forms forms the the the leader-follower leader-follower leader-follower scheme scheme scheme used used used for for for the the the control control control of of of the the collaborative system carrying a common payload.Decentralized approachThe second second approach approach approach considers considers considers the the frame attached attached to to a point of interest interest on on the common payload as the end-effector frame of both the flanking mobile manipulator systems, as depicted in Fig. 5. Thus, a desired trajectory specified for this payload frame can then provide the desired reference trajectories for the two mobile platforms using the similar framework developedin the previous section by takingand , where . Thispermits Eq. (5) to be rewritten as: (18)Fig. 5 Decentralized control scheme implementation permits the (a) composite system; to be treated as (b) two independent 2-link mobile manipulators and correspondingly Eq. (6)and correspondingly Eq. (6)––(8) as:(19)Each two-link mobile manipulator now controls its configuration with reference to this common end-effector frame mounted on the payload. However, thelocations locations of of of the the the attachments attachments attachments of of of the the the physical physical physical manipulators manipulators manipulators with respect with respect with respect to to to the the payload reference frame must be known apriori.Implementation frameworkWe examine the design and development of a two-stage implementation framework, shown in Fig. 6, that emphasizes both virtual prototyping (VP) based refinement and hardware-in-the-loop (HIL) experimentation.Fig. 6 Paradigm for rapid development and testing of the control scheme on on virtual and physical virtual and physical prototypes Virtual prototyping based refinementIn the first stage, we employ virtual prototyping (VP) tools to rapidly create, evaluate and refine parametric models of the overall system and test various algorithms algorithms in in in simulation simulation simulation within within within a a a virtual virtual virtual environment. environment. environment. 3D 3D 3D solid solid solid models models models of of of the the mobile platforms and the manipulators of interest are created in a CAD package,4 and exported with their corresponding geometric and material properties into a dynamic simulation environment.5 Figure 7(a) shows an example of the application of such framework for simulating the motion of a mobile platformcontrolled controlled by an by an by an algorithm algorithm algorithm implemented implemented implemented in Simulink.in Simulink.6 However, However, it is important it is importantto note that the utility of such virtual testing is limited by: (a) the ability to correctly model and simulate the various phenomena within the virtual environment; (b) the fidelity of the available simulation tools; and (c) ultimately, ultimately, the the the ability ability ability of of of the the the designer designer designer to to to correctly correctly correctly model model model the the the desired desired desired system system and suitably interpret the results.Fig. 7 A single WMR base undergoing testing within the (a) virtual prototyping framework; and (b) hardware-in-the-loop (HIL) testing framework Hardware-in-the-loop experimentationWe employ a hardware-in-the-loop (HIL) methodology for rapid experimental verification of the real-time controllers on the electromechanical mobile manipulator prototypes. Each individual WMR is constructed using two powered wheels and two unactuated casters. Conventional disc-type rear wheels, powered by gear-motors, are chosen because of robust physical construction and ease of operation in the presence of terrain irregularities. Passive ball casters are preferred over wheel casters to simplify the constraints on maneuverability introduced by the casters. The mounted manipulator arm has two passive revolute joints with axes of rotation parallel to each other and perpendicular to the base of the mobile platform. The first joint is placed appropriately at the geometric center on top frame of the platform. The location of the second joint can be adjusted to any position along the slotted first link. The second link itself is reduced to a flat plate supported by the second joint. Each joint is instrumented instrumented with with optical encoder that can measure the joint rotations. The completely assembled two-link mobile manipulator is shown in Fig. 1(c). The second mobile manipulator (see left module of Fig. 1(b) and (d)) employs the same same overall overall overall design design design but but possesses possesses a a motor motor at at the the base base base joint joint joint of of of the the mounted two-link arm. The motor may be used to control the joint two-link arm. The motor may be used to control the joint motion along a motion along a predetermined trajectory (which can include braking/holding the joint at a predetermined predetermined position). position). position). When When When the the the motor motor motor is is is switched switched switched off off off the the the joint joint joint now now now reverts reverts to a passive joint (with much greater damping). The motor is included for permitting future force-redistribution studies. In this paper, however, the motor is used solely to lock the joint prevent self-motions self-motions of of the articulated linkage for certain pathological cases (Bhatt et al., 2005; Tang and Krovi, 2004). PWM-output motor driver cards are used to drive the gearmotors; and encoder cards monitor the encoders instrumenting the various articulated arms. This embedded controller controller communicates communicates communicates with with a designated designated host host computer using TCP/IP for program download and data logging. The host computer withMATLAB/Simulink/Real Time Workshop 8 provides a convenient graphical userinterface environment for system-level software development using a block-diagrammatic language. The compiled executable is downloaded over the network and executes in real-time on the embedded controller while accessing locally installed hardware components.In particular, the ability to selectively test components/systems at various levels (e.g. individual motors, individual WMRs or entire systems) without wearing out components during design iterations was very useful. Figure 7(b) illustrates the implementation of such a system on one of the WMRs. Numerous calibration, simulation and experimental studies carried out with this framework, at the individual-level and system-level, are reported in Abou-Samah (2001).Experimental resultsFor the subsequent experiments,99we prescribe the initial configuration configuration of of the two-module composite system, as shown in Fig. 8. Specifically, we position thetwo two WMRs such WMRs such WMRs such that MP that MP that MP A is A is A is located located located at a relative position of at a relative position of ,and with a relative orientation difference of with respect to MP B.For fixed link-lengths this inherently specifies the values of the various configuration angles as shown in Table 1.Table 1 Parameters for the initial configuration of the two-module composite wheeled system (see Fig. 8 for details) Link lengths of the articulationL 1 0.28 0.28 m m m (11 (11 (11 in) in)L 2 0.28 0.28 m m m (11 (11 (11 in) in) Relative angles of the configuration of thearticulationL 3 0.28 0.28 m m m (11 (11 (11 in) in)φ 1 333333.98°.98°.98°φ 2 280.07°280.07°φ 3 337.36°337.36° Offset between the wheeled mobile basesφ 4 128.59°128.59°δ 0.00°0.00°0.00 m (0 in)0.61 0.61 m m m (24 (24 (24 in) in)Fig. 8 Initial configuration of the two-module composite wheeled system Leader-follower approachA straight line trajectory at a velocity of 0.0254 m/s is prescribed for the leader, MP B. Given a desired configuration of the manipulator arm, the algorithm algorithm described in described in described in Section 4.1 Section 4.1 Section 4.1 is used is used is used to to to obtain a desired obtain a desired obtain a desired trajectory for trajectory for MP A. A large disruption is intentionally introduced by causing one of the wheels of MP A to run over a bump, to evaluate the effectiveness of wheels of MP A to run over a bump, to evaluate the effectiveness of the the disturbance accommodation, detection and compensation.The results are examined in two case scenarios examined in two case scenarios –– Case A: MP A employs odometric estimation for localization as seen in Fig. 9, and Case B: MP A employs sensed articulations for localization as seen in Fig. as seen in Fig. 1010. In each of these figures, (a) presents the overall -trajectory of {M } of MPA with respect to the end-effector frame {E } (that is rigidly attached to the {M } of MPB) while (b), (c) and (d) present the relative orientation difference, X -difference and Y -difference as functions of time. Further in both sets of figures, the ‘Desired’ (––(–– line) is the desired trajectory typically computed offline; and ‘Actual’ (–o – line) is the actual trajectory followed by the system, as determined by post-processing the measurements of the instrumented articulations.However, in Fig. However, in Fig. 99, the (, the (––x – line) represents the odometric estimate while in Fig. in Fig. 1010 it stands for the articulation based estimate (which therefore coincides with the ‘Actual’ (–coincides with the ‘Actual’ (–o o – line) trajectory).Fig. 9 Case A: Odometric Estimation of Frame M, used in the control of MP A following MPB in a leader-follower approach, is unable to detect non-systematic errors such as wheel-slip. (a) XY trajectory of Frame M; (b) Orientation versus Time; (c) X position of Frame M versus Time; and (d) Y position of Frame M versus Time Fig. 10 Case B: Articulation based Estimation of Frame M, used for control of MPA with respect to MP B in a leader-follower approach is able to detect and correct non-systematic errors such as wheel-slip. slip. (a) (a) XY trajectory of Frame M; (b) Orientation versus Time; (c) X position of Frame M versus time; and (d) Y position of Frame M versus time In Case A, the introduction of the disruption causes a drift in the relative configuration of the system which remains undetected by the odometric estimation. Further, as seen in Fig. 9, this drift has a tendency to grow if left uncorrected. However, as seen in Fig. 10, the system can use the articulation-based articulation-based estimation estimation estimation (Case (Case (Case B) B) B) to to not only only detect detect detect disturbances disturbances disturbances to to to the the relative configuration but also to successfully restore the original system configuration.Decentralized control approachIn this decentralized control scenario, a straight line trajectory with a velocity of 0.0254 m/s is presented for the payload frame. As in the leader-follower scenario, a large disruption is introduced by causing one of the wheels of MP A to run over a bump. The algorithm is tested using two further case scenarios scenarios——Case Case C:C: Both mobile mobile platforms platforms platforms employ employ odometric odometric estimation estimation estimation for for localization as shown in Fig. as shown in Fig. 1111, and Case D: Both mobile platforms employsensed articulations for localization as shown in Fig. as shown in Fig. 1212.Fig. 11 Case C: Odometric estimation of frames M of MP A and MP B, used in the control of MP A with respect to MP B in the decentralized approach, is again unable to detect non-systematic errors such as wheel-slip. (a) XY trajectory of frame M of MP A; (b) XY trajectory of frame M of MP B; (c) Relative orientation, between MP A and MP B, versus time; (d) X distance, between MP A and MP B, versus time; and (e) Y distance, between MP A and MP B, versus time. (f) Sequential photographs of the corresponding composite system motion (as time progresses from left to right along each row)Fig. 12 Case D: Articulation based estimation of frames M of MP A and MP B, used for the control of MP A and MP B with respect to a payload-fixed frame is able to detect and correct non-systematic errors such as wheel-slip. (a) XY trajectory of frame M of MP A; (b) XY trajectory of frame M of MP B; (c) Relative orientation, between MP A and MP B, versus time; (d) X distance, between MP A and MP B, versus time; and (e) Y distance, between MP A and MP B, versus time. (f) Sequential photographs of the corresponding composite system motion (as time progresses from left to right along each row) In In each each each of of of these these these figures, figures, figures, subplots subplots subplots (a) (a) (a) and and and (b) (b) (b) presents presents presents the the the overall overalltrajectories trajectories of of frames frames {{M } of MP A and MP B respectively respectively with with with respect respect respect to to their initial poses. Subplots (c), (d) and (e) present the relative orientation difference, X -difference and Y -difference of frames {M } of MP A and MP B respectively as functions of time. Further in both sets of figures, the ‘Desired’ ‘Desired’ (––(––(–– line) is the desired trajectory trajectory typically typically computed offline; and ‘Actual’ (–and ‘Actual’ (–o o – line) is the actual trajectory followed by the system, as determined by post-processing the measurements of the instrumented articulations. articulations. However, However, However, in in in Fig. Fig. Fig. 1111, the (–x – line) line) represents represents represents the the odometric estimate while in Fig. estimate while in Fig. 1212 it stands for the articulation based estimate.In Case C, both mobile platforms use the odometric estimation for localization —hence hence as as as expected, expected, expected, Fig. Fig. Fig. 1111 reflects reflects the the the fact fact fact that that that the the the system system system is is unable unable to to to detect detect detect or or or correct correct correct for for for changes changes changes in in in the the the relative relative relative system system system configuration. configuration. However the data obtained from the articulations accurately captures theexistence of errors between the frames of reference of MP B and MP A. Thus, using the articulation-based articulation-based estimation estimation of relative configuration for control as in Case D allows the detection of disturbances and successful restoration of the original system configuration configuration as as shown in Fig. 12. Note, however, however, while while the relative system configuration is maintained, errors relative to a global reference frame cannot be detected if both WMRs undergo identical simultaneous disturbances . Detection of such absolute errors would require an external reference and is beyond the scope of the existing framework.ConclusionIn this paper, we examined the design, development and validation of a kinematically compatible framework for cooperative transport of a common payload payload by by by a a team team of of nonholonomic nonholonomic mobile mobile mobile manipulators. manipulators. manipulators. Each Each Each individual individual individual mobile mobile manipulator module consists of a differentially driven wheeled WMR retrofitted with with a a a passive passive passive two two two revolute revolute revolute jointed jointed jointed planar planar planar manipulator manipulator manipulator arm. arm. arm. A composite A composite A composite multi multi degree-of-freedom degree-of-freedom vehicle vehicle system could then be modularly created by attaching a common payload on the end-effector of two or more such modules.The composite composite system system allowed payload trajectory tracking errors, arising from subsystem controller errors or environmental disturbances, to be readily accommodated within the compliance offered by the articulated linkage. The individual mobile manipulators compensated by modifying their WMR bases’ motion plans to ensure prioritized satisfaction of the nonholonomic constraints. constraints. The The stabilizing controllers of the WMR bases could then track the recomputed “desired motion plans” to help restore the system system-configuration. -configuration. This scheme not only explicitly ensured maintenance of the kinematic compatibility constraints within the system but is also well suited for an online sensor-based motion planning implementation.This This algorithm was algorithm was algorithm was then then then adapted to adapted to adapted to create two create two create two control schemes for control schemes for the overall composite system — the leader follower approach and the decentralized approach. We evaluated both approaches within an implementation framework that emphasized both, virtual prototyping and hardware-in-the-loop using the case-study of a two module composite system. Experimental results verified the ability of the composite system with sensed articulations to not only accommodate instantaneous disturbances due to terrain irregularities but also to to detect detect detect and and and correct correct correct drift drift drift in in in the the the relative relative relative system system system configuration. configuration. configuration. The The The overall overall framework readily facilitates generalization to treat larger systems with many more mobile manipulator modules.Appendix AThe kinematic constraint equations shown in Eq. (3) may be written in the general form as:(20)Then the velocity constraint equation can be written as:(21)The general solution to this differential equation is:(22)By appropriate selection of the initial conditions within the experimentalsetup, one can create the condition , i.e., exactly satisfying the constraint at the initial time, which then permits the constraint constraint to be to be to be satisfied satisfied satisfied for all for all for all time. However, time. However, time. However, one could also one could also one could also enhance this enhance this process by adding another term to the right-hand-side of Eq. (21) as:(23)where Φ is a positive-definite positive-definite constant constant matrix. This results in a first order stable system:(24)whose solution for any arbitrary initial configuration is:(25)In such systems, there is no longer a requirement to enforcesince the solution exponentially stabilizes to regardless of the initial conditions. This feature could potentially be easily added to transform Eq. (5) to further improve overall performance, but was not required. ReferencesAbou-Samah, M. 2001. A kinematically compatible framework for collaboration of multiple non-holonomic wheeled mobile robots. M. Eng. Thesis, McGill University, Montreal, Canada. Abou-Samah, Abou-Samah, M. M. M. and and and Krovi, Krovi, Krovi, V. V. V. 2002. 2002. 2002. Optimal Optimal Optimal configuration configuration configuration selection selection selection for for for a a a cooperating cooperating cooperating system system system of of mobile manipulators. In P roceedings Proceedings of the 2002 ASME Design Engineering Technical Conferences , DETC2002/MECH-34358, Montreal, QC, Canada. Adams,J.,Bajcsy, R.,Kosecka,J., R.,Kosecka,J., Kumar, Kumar, Kumar, V., V., V., Mandelbaum, Mandelbaum, Mandelbaum, R., R., R., Mintz, Mintz, Mintz, M., M., M., Paul, Paul, Paul, R., R., R., Wang, Wang, Wang, C.-C., C.-C., Yamamoto, Yamamoto, Y Y ., and and Yun, Yun, Yun, X. X. X. 1996. 1996. 1996. Cooperative Cooperative Cooperative material material material handling handling handling by by by human human human and and and robotic robotic robotic agents: agents: Module development and system synthesis. Expert Systems with Applications, 11(2):89, 11(2):89, 11(2):89––97. Bhatt, R.M., Tang, C.P ., Abou-Samah, M., and Krovi, V. 2005. A screw-theoretic analysis framework for for payload payload payload manipulation manipulation manipulation by by by mobile mobile mobile manipulator manipulator manipulator collectives. collectives. collectives. In In Proceedings of the 2005 ASME International Mechanical Engineering Congress & Exposition, IMECE2005-81525, Orlando, Florida, USA. Borenstein, J., Everett, B., and Feng, L. 1996. Navigating Mobile Robots: Systems and Techniques. A. K. Peters, Ltd., Wellesley, MA. Brockett, R.W. 1981. Control theory and singular riemannian geometry. In P .J. Hilton and G.S. Young (eds), New Directions in Applied Mathematics, Springer-Verlag, New York, pp. 11–27. Campion, Campion, G., G., G., Bastin, Bastin, Bastin, G., G., G., and and and D'Andrea-Novel, D'Andrea-Novel, D'Andrea-Novel, B. B. B. 1996. 1996. 1996. Structural Structural Structural properties properties properties and and and classification classification classification of of kinematic kinematic and and and dynamic dynamic dynamic models models models of of of wheeled wheeled wheeled mobile mobile mobile robots. robots. IEEE Transactions on Robotics and Automation , 12(1):47–62. Canudas de Witt, C., Siciliano, B., and Bastin, G. 1996. Theory of Robot Control. Springer-Verlag, Berlin. Desai, Desai, J. J. J. and and and Kumar, Kumar, Kumar, V. V. V. 1999. 1999. 1999. Motion Motion Motion planning planning planning for for for cooperating cooperating cooperating mobile mobile mobile manipulators. manipulators. Journal of Robotic Systems , 16(10):557–579. Donald, B.R., Jennings, J., and Rus, D. 1997. Information invariants for distributed manipulation. TheInternational Journal of Robotics Research, 16(5):673–702. Honzik, B. 2000. Simulation of the kinematically redundant mobile manipulator. In Proceedings of the 8th MATLAB Conference 2000, Prague, Czech Republic, pp. 91, Prague, Czech Republic, pp. 91–95. Humberstone, C.K. and Smith, K.B. 2000. Object transport using multiple mobile robots with non-compliant endeffectors. In D istributed Distributed Autonomous Robotics Systems 4, Springer-Verlag, Tokyo, 4, Springer-Verlag, Tokyo, Tokyo, pp. 417–426. Juberts, M. 2001. Intelligent control of mobility systems, Needs. ISD Division, Manufacturing Engineering Laboratory, National Institute of Standards and Technology. Khatib, Khatib, O., O., O., Yokoi, Yokoi, K., K., Chang, Chang, Chang, K., K., K., Ruspini, Ruspini, Ruspini, D., D., D., Holmberg, Holmberg, Holmberg, R., R., R., and and and Casal, Casal, Casal, A. A. A. 1996. 1996. 1996. Vehicle/arm Vehicle/arm coordination and multiple mobile manipulator decentralized cooperation. In Proceedings of the 1996IEEE/RSJ International Conference on Intelligent Robots and Systems, Osaka, Japan, pp. 546–553. Kosuge, K., Osumi, T., Sato, M., Chiba, K., and Takeo, K. 1998. Transportation of a single object by two decentralized-controlled nonholonomic mobile robots. In 1998 IEEE International Conference on Robotics and Automation, Leuven, Belgium, pp. 2989–2994. Kube, C.R. and Zhang, H. 1997. Task modelling in collective robotics. Autonomous Robots , Kluwer Academic Publishers, 4(1):53–72. Latombe, J.-C. 1991. R obot Robot Motion Planning. Kluwer Academic Publishers, Boston, MA. Li, Z. and Canny, J.F. 1993. Nonholonomic Motion Planning. Kluwer Academic Publishers, Boston, MA. Murray, R.M. and Sastry, S.S. 1993. Nonholonomic motion planning: Steering using sinusoids. IEEE Transactions on Automatic Control, 38(5):700–716. Nakamura, Y . 1991. A dvanced Advanced Robotics: Redundancy and Optimization. Addison-Wesley Publishing Company, Inc., California. Samson, Samson, C. C. C. and and and Ait-Abderrahim, Ait-Abderrahim, Ait-Abderrahim, K. K. K. 1991a. 1991a. 1991a. Feedback Feedback Feedback control control control of of of a a a nonholonomic nonholonomic nonholonomic wheeled wheeled wheeled cart cart cart in in cartesian space. space. In In Proceedings of the 1991 IEEE International Conference on Robotics and Automation , Sacramento CA, pp. 1136–1141. Samson, C. and Ait-Abderrahim, K. 1991b. Feedback stabilization of a nonholonomic wheeled mobile robot. robot. In In Proceedings of the 1991 IEEE/RSJ International Workshop on Intelligent Robots andSystems , Osaka, Japan, pp. 1242–1247. Schenker, P .S., Huntsberger, T.L., Pirjanian, P ., Trebi-Ollennu, A., Das, H., Joshi, S., Aghazarian, H., Ganino, A.J., Kennedy, B.A., and Garrett, M.S. 2000. Robot work crews for planetary outposts: Close cooperation and coordination of multiple mobile robots. In Procedings of SPIE Symposium on Sensor Fusion and Decentralized Control in Robotic Systems III , Boston, MA. Seraji, Seraji, H. H. H. 1998. 1998. 1998. A A A unified unified unified approach approach approach to to to motion motion motion control control control of of of mobile mobile mobile manipulators. manipulators. The International Journal of Robotics Research, 17(2):107, 17(2):107–118. Spletzer, J., Das, A.K., Fierro, C.J., Kumar, V., and Ostrowski, J.P. 2001. Cooperative localization and control for multi-robot manipulation. In Procedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, Hawaii, USA, pp. 631–636. Stilwell, Stilwell, D.J. D.J. D.J. and and and Bay, Bay, Bay, J.S. J.S. J.S. 1993. 1993. 1993. Towards Towards Towards the the the development development development of of of a a a material material material transport transport transport system system system using using swarms of ant-like robots. In Procedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems, Atlanta, GA, pp. 766, Atlanta, GA, pp. 766–771. Tang, C.P . 2004. Manipulability-based analysis of cooperative payload transport by robot collectives. M.S. Thesis, University at Buffalo, Buffalo, NY . Tang, C.P . and Krovi, V. 2004. Manipulability-based configuration evaluation of cooperative payload transport by by mobile mobile robot collectives. In Proceedings of the 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference , DETC2004-57476, Salt Lake City, UT, USA. Tanner, H.G., Kyriakopoulos, K.J., and Krikelis, N.I. 1998. Modeling of multiple mobile manipulators handling a common deformable object. Journal of Robotic Systems, 15(11):599, 15(11):599, 15(11):599––623. Wang, Z.-D., Nakano, E., and Matsukawa, T. 1994. Cooperating multiple behavior-based robots for object manipulation. In 1994 1994 IEEE/RSJ International Conference on Intelligent Robots and Systems . Whitney, Whitney, D.E. D.E. D.E. 1969. 1969. 1969. Resolved Resolved Resolved motion motion motion rate rate rate control control control of of of manipulators manipulators manipulators and and and human human human prostheses. prostheses. IEEE Transactions on Man-Machine Systems, MMS-10;47, MMS-10;47–53. Yamamoto, Y. 1994. Control and coordination of locomotion and manipulation of a wheeled mobile manipulator. Ph.D. Thesis, University of Pennsylvania, Philadelphia, PA. Yamamoto, Y . and Yun, X. 1994. Coordinating locomotion and manipulation of a mobile manipulator. IEEE Transactions on Automatic Control, 39(6):1326–1332. Footnotes 1．R indicates revolute joint. RRR indicates serial linkages connected by three revolute joints. 2．We denote “desired ” quantities using superscript d in the rest of the paper. 3．Reference robot variables are denoted using superscript r and actual robot variables without any superscript for the rest of the paper. 4．SolidWorks TM was the CAD package used for this work. 5．MSC Visual Nastran TM was the dynamic simulation environment used for this work. 。
机械手中英文对照外文翻译文献
机械手中英文对照外文翻译文献机械手机械手是近几十年发展起来的一种高科技自动化生产设备。
作为工业机器人的一个重要分支，机械手可通过编程来完成各种预期的作业任务，并兼有人和机器各自的优点，尤其体现了人的智能和适应性。
机械手作业的准确性和各种环境中完成作业的能力，在国民经济各领域有着广阔的发展前景。
随着工业自动化的发展，数控加工中心在减轻工人劳动强度的同时，提高了劳动生产率。
然而，数控加工中常见的上下料工序，通常仍采用人工操作或传统继电器控制的半自动化装置。
前者费时费工、效率低，后者则存在可靠性差、故障多、维修困难等问题。
因此，可编程序控制器PLC控制的上下料机械手控制系统成为了一种更为优越的选择，它具有动作简便、线路设计合理、抗干扰能力强和可靠性高等优点，可以保证系统运行的稳定性，降低维修率，提高工作效率。
机械手技术涉及到力学、机械学、电气液压技术、自动控制技术、传感器技术和计算机技术等科学领域，是一门跨学科综合技术。
一、工业机械手的概述机械手是一种能自动化定位控制并可重新编程序以变动的多功能机器，它有多个自由度，可用来搬运物体以完成在各个不同环境中工作。
在中国，尽管塑料制品行业仍属于劳动力密集型，但机械手的使用已经越来越普及。
那些设在中国的欧美跨国公司很早就在工厂中引进了自动化生产。
但现在的变化是分布在工业密集的华南、华东沿海地区的中国本土塑料加工厂也开始对机械手表现出越来越浓厚的兴趣，因为他们要面对工人流失率高，以及为工人交工伤费带来的挑战。
随着我国工业生产的飞跃发展，特别是改革开发以后，自动化程度的迅速提高，实现工件的装卸、转向、输送或操作钎焊、喷枪、扳手等工具进行加工、装配等作业自化，已愈来愈引起我们重视。
机械手是模仿着人手的部分动作，按给定的程序、轨迹和要求实现自动抓取、搬运或操作的自动机械装置。
在现实生活中，加工零件装料的过程繁琐，劳动生产率不高，生产成本大，有时还会发生人为事故，导致加工者受伤。
码垛机械手设计外文文献翻译、中英文翻译
码垛机械手设计ABOUT MODERN INDUSTRIAL MANIPULATOR Robot is a type of mechantronics equipment which synthesizes the last research achievement of engine and precision engine, micro-electronics and computer, automation control and drive, sensor and message dispose and artificial intelligence and so on. With the development of economic and the demand for automation control, robot technology is developed quickly and all types of the robots products are come into being. The practicality use of robot not only solves the problems which are difficult to operate for human being, but also advances the industrial automation program. Modern industrial robots are true marvels of engineering. A robot the size of a person can easily carry a load over one hundred pounds and move it very quickly with a repeatability of 0.006inches. Furthermore these robots can do that 24hours a day for years on end with no failures whatsoever. Though they are reprogrammable, in many applications they are programmed once and then repeat that exact same task for years.At present, the research and development of robot involves several kinds of technology and the robot system configuration is so complex that the cost at large is high which to a certain extent limit the robot abroad use. To development economic practicality and high reliability robot system will be value to robot social application and economy development. With he rapid progress with the control economy and expanding of the modern cities, the let of sewage is increasing quickly; with the development of modern technology and the enhancement of consciousness about environment reserve, more and more people realized the importance and urgent of sewage disposal. Active bacteria method is an effective technique for sewage disposal. The abundance requirement for lacunaris plastic makes it is a consequent for plastic producing with automation and high productivity. Therefore, it is very necessary to design a manipulator that can automatically fulfill the plastic holding. With the analysis of the problems in the design of the plasticholding manipulator and synthesizing the robot research and development conditionin recent years, a economic scheme is concluded on the basis of the analysis of mechanical configuration, transform system, drive device and control system and guided by the idea of the characteristic and complex of mechanical configuration, electronic, software and hardware. In this article, the mechanical configuration combines the character of direction coordinate which can improve the stability and operation flexibility of the system. The main function of the transmission mechanism is to transmit power to implement department and complete the necessary movement. In this transmission structure, the screw transmission mechanism transmits the rotary motion into linear motion. Worm gear can give vary transmission ratio. Both of the transmission mechanisms have a characteristic of compact structure. The design of drive system often is limited by the environment condition and the factor of cost and technical lever. The step motor can receive digital signal directly and has the ability to response outer environment immediately and has no accumulation error, which often is used in driving system. In this driving system, open-loop control system is composed of stepping motor, which can satisfy the demand not only for control precision but also for the target of economic and practicality. On this basis, the analysis of stepping motor in power calculating and style selecting is also given. The analysis of kinematics and dynamics for object holding manipulator is given in completing the design of mechanical structure and drive system.Current industrial approaches to robot arm control treat each joint of the robot arm as a simple joint servomechanism. The servomechanism approach models the varying dynamics of a manipulator inadequately because it neglects the motion and configuration of the whole arm mechanism. These changes in the parameters of the controlled system sometimes are significant enough to render conventional feedback control strategies ineffective. The result is reduced servo response speed and damping, limiting the precision and speed of the end-effecter and making it appropriate only for limited-precision tasks. Manipulators controlled in this manner move at slow speeds with unnecessary vibrations. Any significant performance gain in this and other areas of robot arm control require the consideration of more efficient dynamic models, sophisticated control approaches, and the use of dedicated computer architectures and parallel processing techniques.In the industrial production and other fields, people often endangered by such factors as high temperature, corrode, poisonous gas and so forth at work, which have increased labor intensity and even jeopardized the life sometimes. The corresponding problems are solved since the robot arm comes out. The arms can catch, put and carry objects, and its movements are flexible and diversified. It applies to medium and small-scale automated production in which production varieties can be switched. And it is widely used on soft automatic line. The robot arms are generally made by withstand high temperatures, resist corrosion of materials to adapt to the harsh environment. So they reduced the labor intensity of the workers significantly and raised work efficiency. The robot arm is an important component of industrial robot, and it can be called industrial robots on many occasions. Industrial robot is set machinery, electronics, control, computers, sensors, artificial intelligence and other advanced technologies in the integration of multidisciplinary important modern manufacturing equipment. Widely using industrial robots, not only can improve product quality and production, but also is of great significance for physical security protection, improvement of the environment for labor, reducing labor intensity, improvement of labor productivity, raw material consumption savings and lowering production costs.There are such mechanical components as ball footbridge, slides, air control mechanical hand and so on in the design. A programmable controller, a programming device, stepping motors, stepping motors drives, direct current motors, sensors, switch power supply, an electromagnetism valve and control desk are used in electrical connection.关于现代工业机械手文章出处：1994-2009 China Academic Joumal Electronic Publishing House机器人是典型的机电一体化装置，它综合运用了机械与精密机械、微电子与计算机、自动控制与驱动、传感器与信息处理以及人工智能等多学科的最新研究成果，随着经济技术的发展和各行各业对自动化程度要求的提高，机器人技术得到了迅速发展，出现了各种各样的机器人产品。
机械手设计英文参考文献原文翻译
翻译人：王墨墨山东科技大学文献题目：Automated Calibration of Robot Coordinatesfor Reconfigurable Assembly Systems翻译正文如下：针对可重构装配系统的机器人协调性的自动校准T.艾利，Y.米达，H.菊地，M.雪松日本东京大学，机械研究院，精密工程部摘要为了实现流水工作线更高的可重构性，以必要设备如机器人的快速插入插出为研究目的。
当一种新的设备被装配到流水工作线时，应使其具备校准系统。
该研究使用两台电荷耦合摄像机，基于直接线性变换法，致力于研究一种相对位置/相对方位的自动化校准系统。
摄像机被随机放置，然后对每一个机械手执行一组动作。
通过摄像机检测机械手动作，就能捕捉到两台机器人的相对位置。
最佳的结果精度为均方根值0.16毫米。
关键词：装配，校准，机器人1 介绍21世纪新的制造系统需要具备新的生产能力，如可重用性，可拓展性，敏捷性以及可重构性[1]。
系统配置的低成本转变，能够使系统应对可预见的以及不可预见的市场波动。
关于组装系统，许多研究者提出了分散的方法来实现可重构性[2][3]。
他们中的大多数都是基于主体的系统，主体逐一协同以建立一种新的配置。
然而，协同只是目的的一部分。
在现实生产系统中，例如工作空间这类物理问题应当被有效解决。
为了实现更高的可重构性，一些研究人员不顾昂贵的造价，开发出了特殊的均匀单元[4][5][6]。
作者为装配单元提出了一种自律分散型机器人系统，包含多样化的传统设备[7][8]。
该系统可以从一个系统添加/删除装配设备，亦或是添加/删除装配设备到另一个系统；它通过协同作用，合理地解决了工作空间的冲突问题。
我们可以把该功能称为“插入与生产”。
表1：合作所需的调节和量度在重构过程中，校准的装配机器人是非常重要的。
这是因为，需要用它们来测量相关主体的特征，以便在物理主体之间建立良好的协作关系。
这一调整必须要达到表1中所列到的多种标准要求。
机械手_外文文献及翻译
Model-based Control for 6-DOF ParallelManipulator基于模型的控制六自由度并联机器人Abstract 摘要A novel model-based controller forsix-degree-of-freedom (DOF) parallel manipulator is proposed in this paper,in order to abatement the influence of platform load variety and compel the steady state errors converge to zero 一种新的基于模型的控制器的六自由度并联机器人（自由度）提出，以便消除影响平台负载的品种和迫使稳态误差收敛到零In this paper, 6-DOF parallel manipulator is described as multi-rigid-body systems, the mathematical model of the 6-DOF parallelmanipulator including dynamics based on Kane method and kinematics used closed-form solutions andNewton-Raphson method is built in generalized coordinate system. 在本文中，六自由度并联机器人被描述为多刚体系统，数学模型的六自由度并联机器人基于凯恩方法包括动力学和运动学使用封闭形式的解决方案和牛顿迭代法是建立在广义坐标系统。
The model-based controller is presented with the feedback of cylinders positions of platform, desired trajectories and dynamics gravity as the input and the servovalve current as its output. 基于模型的控制器是与气缸位置反馈平台，所需的轨迹和动态重力作为输入和输出的伺服阀电流。
机械手外文文献及翻译
EnglishRobot developed in recent decades as high-tech automated production equipment. Industrial robot is an important branch of industrial robots. It features can be programmed to perform tasks in a variety of expectations, in both structure and performance advantages of their own people and machines, in particular, reflects the people's intelligence and adaptability. The accuracy of robot operations and a variety of environments the ability to complete the work in the field of national economy and there are broad prospects for development. With the development of industrial automation, there has been CNC machining center, it is in reducing labor intensity, while greatly improved labor productivity. However, the upper and lower common in CNC machining processes material, usually still use manual or traditional relay-controlled semi-automatic device. The former time-consuming and labor intensive, inefficient; the latter due to design complexity, require more relays, wiring complexity, vulnerability to body vibration interference, while the existence of poor reliability, fault more maintenance problems and other issues. Programmable Logic Controller PLC-controlled robot control system for materials up and down movement is simple, circuit design is reasonable, with a strong anti-jamming capability, ensuring the system's reliability, reduced maintenance rate, and improve work efficiency.Robot technology related to mechanics, mechanics, electrical hydraulic technology, automatic control technology, sensor technology and computer technology and other fields of science, is a cross-disciplinary integrated technology.First, An overview of industrial manipulatorRobot is a kind of positioning control can be automated and can be re-programmed to change in multi-functional machine, which has multipledegrees of freedom can be used to carry an object in order to complete the work in different environments. Low wages in China, plastic products industry, although still a labor-intensive, mechanical hand use has become increasingly popular. Electronics and automotive industries that Europe and the United States multinational companies very early in their factories in China, the introduction of automated production. But now the changes are those found in industrial-intensive South China, East China's coastal areas, local plastic processing plants have also emerged in mechanical watches began to become increasingly interested in, because they have to face a high turnover rate of workers, as well as for the workers to pay work-related injuries fee challenges. With the rapid development of China's industrial production, especially the reform and opening up after the rapid increase in the degree of automation to achieve the work piece handling, steering, transmission or operation of brazing, spray gun, wrenches and other tools for processing and assembly operations since, which has more and more attracted our attention. Robot is to imitate the manual part of the action, according to a given program, track and requirements for automatic capture, handling or operation of the automatic mechanical devices.In real life, you will find this a problem. In the machine shop, the processing of parts loading time is not annoying, and labor productivity is not high, the cost of production major, and sometimes man-made incidents will occur, resulting in processing were injured. Think about what could replace it with the processing time of a tour as long as there are a few people, and can operate 24 hours saturated human right The answer is yes, but the robot can come to replace it. Production of mechanical hand can increase the automation level of production and labor productivity; can reduce labor intensity, ensuring product quality, to achieve safe production; particularly in the high-temperature, highpressure, low temperature, low pressure, dust, explosive, toxic and radioactive gases such as poor environment can replace the normal working people. Here I would like to think of designing a robot to be used in actual production.Why would a robot designed to provide a pneumatic power: pneumatic robot refers to the compressed air as power source-driven robot. With pressure-driven and other energy-driven comparison have the following advantages: 1. Air inexhaustible, used later discharged into the atmosphere, does not require recycling and disposal, do not pollute the environment. (Concept of environmental protection) 2. Air stick is small, the pipeline pressure loss is small (typically less than asphalt gas path pressure drop of one-thousandth), to facilitate long-distance transport.3. Compressed air of the working pressure is low (usually 4 to 8 kg / per square centimeter), and therefore moving the material components and manufacturing accuracy requirements can be lowered.4. With the hydraulic transmission, compared to its faster action and reaction, which is one of the advantages pneumatic outstanding.5. The air cleaner media, it will not degenerate, not easy to plug the pipeline. But there are also places where it fly in the ointment:1. As the compressibility of air, resulting in poor aerodynamic stability of the work, resulting in the implementing agencies as the precision of the velocity and not easily controlled. 2. As the use of low atmospheric pressure, the output power cannot be too large; in order to increase the output power is bound to the structure of the entire pneumatic system size increased. With pneumatic drive and compare with other energy sources drive has the following advantages: Air inexhaustible, used later discharged into the atmosphere, without recycling and disposal, do not pollute the environment. Accidental or a small amount of leakage would not be a serious impact on production. Viscosity of air is small, the pipeline pressure loss also is very small,easy long-distance transport. The lower working pressure of compressed air, pneumatic components and therefore the material and manufacturing accuracy requirements can be lowered. In general, reciprocating thrust in 1 to 2 tons pneumatic economy is better. Compared with the hydraulic transmission, and its faster action and reaction, which is one of the outstanding merits of pneumatic. Clean air medium, it will not degenerate, not easy to plug the pipeline. It can be safely used in flammable, explosive and the dust big occasions. Also easy to realize automatic overload protection.Second，The composition of mechanical handmechanical hand Robot in the form of a variety of forms, some relatively simple, some more complicated, but the basic form is the same as the composition of the Usually by the implementing agencies, transmission systems, control systems and auxiliary devices composed.1. Implementing agenciesManipulator executing agency by the hands, Wrists, arms, pillars. Hands are crawling institutions, is used to clamp and release the workpiece, and similar to human fingers, to complete the staffing of similar actions. Wrist and fingers and the arm connecting the components can be up and down, left, and rotary movement. A simple mechanical hand cannot wrist. Pillars used to support the arm can also be made mobile as needed.2. Transmission The actuatorTransmission The actuator to be achieved by the transmission system. Sub-transmission system commonly used manipulator mechanical transmission, hydraulic transmission, pneumatic and electric power transmission and other drive several forms.3. Control SystemManipulator control system's main role is to control the robot according to certain procedures, direction, position, speed of action, a simple mechanical hand is generally not set up a dedicated control system, using only trip switches, relays, control valves and circuits can be achieved dynamic drive system control, so that implementing agencies according to the requirements of action. Action will have to use complex programmable robot controller, the micro-computer control.Three, mechanical hand classification and characteristics Robots are generally divided into three categories: the first is the general machinery does not require manual hand. It is an independent not affiliated with a particular host device. It can be programmed according to the needs of the task to complete the operation of the provisions. It is characterized with ordinary mechanical performance, also has general machinery, memory, intelligence ternary machinery. The second category is the need to manually do it, called the operation of aircraft. It originated in the atom, military industry, first through the operation of machines to complete a particular job, and later developed to operate using radio signals to carry out detecting machines such as the Moon. Used in industrial manipulator also fall into this category. The third category is dedicated manipulator, the main subsidiary of the automatic machines or automatic lines, to solve the machine up and down the work piece material and delivery. This mechanical hand in foreign countries known as the "Mechanical Hand", which is the host of services, from the host-driven; exception of a few outside the working procedures are generally fixed, and therefore special. Main features: First, mechanical hand (the upper and lower material robot, assembly robot, handling robot, stacking robot, help robot, vacuum handling machines, vacuum suction crane, labor-saving spreader, pneumatic balancer, etc.).Second, cantilever cranes(cantilever crane, electric chain hoist crane, airbalance the hanging, etc.)Third, rail-type transport system (hanging rail, light rail, single girder cranes, double-beam crane) machinery, Four, Application and development of industrial manipulatorApplication of hand Manipulator in the mechanization and automation of the production process developed a new type of device. In recent years, as electronic technology, especially computer extensive use of robot development and production of high-tech fields has become a rapidly developed a new technology, which further promoted the development of robot, allowing robot to better achieved with the combination of mechanization and automation. Although the robot is not as flexible as staff, but it has to the continuous duplication of work and labor, I do not know fatigue, not afraid of danger, the power snatch weight characteristics when compared with manual large, therefore, mechanical hand has been of great importance to many sectors, and increasingly has been applied widely, for example: (1)Machining the work piece loading and unloading, especially in the automatic lathe, combination machine tool use is more common.(2)In the assembly operations are widely used in the electronics industry, it can be used to assemble printed circuit boards, in the machinery industry .It can be used to assemble parts and components.(3)The working conditions may be poor, monotonous, repetitive easy to sub-fatigue working environment to replace human labor.(4)May be in dangerous situations, such as military goods handling, dangerous goods and hazardous materials removal and so on.(5)Universe and ocean development.(6)Military engineering and biomedical research and testing. Help mechanical hands: also known as the balancer, balance suspended, labor-saving spreader, manual Transfer machine is a kind of weightlessness of manual load system, a novel, time-saving technology for material handling operations booster equipment, belonging to kinds ofnon-standard design of series products. Customer application needs, creating customized cases. Manual operation of a simulation of the automatic machinery, it can be a fixed program draws﹑handling objects or perform household tools to accomplish certain specific actions. Application of robot can replace the people engaged in monotonous ﹑repetitive or heavy manual labor, the mechanization and automation of production, instead of people in hazardous environments manual operation, improving working conditions and ensure personal safety.The late 20th century, 40, the United States atomic energy experiments, the first use of radioactive material handling robot, human robot in a safe room to manipulate various operations and experimentation. 50 years later, manipulator and gradually extended to industrial production sector, for the temperatures, polluted areas, and loading and unloading to take place the work piece material, but also as an auxiliary device in automatic machine tools, machine tools, automatic production lines and processing center applications, the completion of the upper and lower material, or From the library take place knife and so on according to fixed procedures for the replacement operation. Robot body mainly by the hand and sports institutions. Agencies with the use of hands and operation of objects of different occasions, often there are clamping﹑support and adsorption type of care. Movement organs are generally hydraulic pneumatic ﹑electrical device drivers. Manipulator can be achieved independently retractable﹑rotation and lifting movements, generally 2 to 3 degrees of freedom. Robots are widely used in metallurgical industry, machinery manufacture, light industry and atomic energy sectors. Can mimic some of the staff and arm motor function, a fixed procedure for the capture, handling objects or operating tools, automatic operation device. It can replace human labor in order to achieve the production of heavy mechanization and automation that can operate in hazardous environmentsto protect the personal safety, which is widely used in machinery manufacturing, metallurgy, electronics, light industry and nuclear power sectors. Mechanical hand tools or other equipment commonly used for additional devices, such as the automatic machines or automatic production line handling and transmission of the workpiece, the replacement of cutting tools in machining centers, etc. generally do not have a separate control device. Some operating devices require direct manipulation by humans; such as the atomic energy sector performs household hazardous materials used in the master-slave manipulator is also often referred to as mechanical hand.Manipulator mainly by hand and sports institutions. Task of hand is holding the workpiece (or tool) components, according to grasping objects by shape, size, weight, material and operational requirements of a variety of structural forms, such as clamp type, type and adsorption-based care such as holding. Sports organizations, so that the completion of a variety of hand rotation (swing), mobile or compound movements to achieve the required action, to change the location of objects by grasping and posture. Robot is the automated production of a kind used in the process of crawling and moving piece features automatic device, which is mechanized and automated production process developed a new type of device. In recent years, as electronic technology, especially computer extensive use of robot development and production of high-tech fields has become a rapidly developed a new technology, which further promoted the development of robot, allowing robot to better achieved with the combination of mechanization and automation. Robot can replace humans completed the risk of duplication of boring work, to reduce human labor intensity and improve labor productivity. Manipulator has been applied more and more widely, in the machinery industry, it can be used for parts assembly, work piecehandling, loading and unloading, particularly in the automation of CNC machine tools, modular machine tools more commonly used.At present, the robot has developed into a FMS flexible manufacturing systems and flexible manufacturing cell in an important component of the FMC. The machine tool equipment and machinery in hand together constitute a flexible manufacturing system or a flexible manufacturing cell, it was adapted to small and medium volume production, you can save a huge amount of the work piece conveyor device, compact, and adaptable. When the work piece changes, flexible production system is very easy to change will help enterprises to continuously update the marketable variety, improve product quality, and better adapt to market competition. At present, China's industrial robot technology and its engineering application level and comparable to foreign countries there is a certain distance, application and industrialization of the size of the low level of robot research and development of a direct impact on raising the level of automation in China, from the economy, technical considerations are very necessary. Therefore, the study of mechanical hand design is very meaningful.中文机械手是近几十年发展起来的一种高科技自动化生产设备。
机械毕业设计英文外文翻译简易机械手及控制
附录外文文献原文：Simple Manipulator And The Control Of ItAlong with the social production progress and people life rhythm is accelerating, people on production efficiency also continuously put forward new requirements. Because of microelectronics technology and calculation software and hardware technology rapid development and modern control theory, the perfection of the fast development, the robot technology pneumatic manipulator system because its media sources do not pollute the environment, simple and cheap components, convenient maintenance and system safety and reliability characteristic, has penetrated into every sector of the industrial field, in the industrial development plays an important role. This article tells of the pneumatic control robots, furious manipulator XY axis screw group, the turntable institutions, rotating mechanical parts base. Main effect is complete mechanical components handling work, to be placed in different kinds of line or logistics pipeline, make parts handling, transport of goods more quick and convenient.Matters of the manipulator axial linkage simple structure and action processManipulator structure, as shown in figure 1 below have accused of manipulator (1), XY axis screw group (2), the turntable institutions (3), rotating base (4), etc.Figure 1 Manipulator StructureIts motion control mode is: (1) can rotate by servomotor Angle for 360 °breath control manipulator (photoelectric sensor sure start 0 point); (2) by stepping motor drive screw component make along the X, Y manipulators move (have X, Y axis limit switches); (3) can rotates 360 °can drive the turntable institutions manipulators and bushings free rotation (its electric drag in part by the dc motivation, photoelectric encoder, close to switch etc); (4) rotating base main support above 3 parts; (5) gas control manipulator by pressure control (Zhang close when pressed on, put inflatable robot manipulators loosen) when gas.Its working process for: when the goods arrived, manipulator system begins to move; Stepping motor control, while the other start downward motion along the horizontal axis of the step-motor controller began to move exercise; Servo motor driver arrived just grab goods manipulators rotating the orientation of the place, then inflatable, manipulator clamped goods.Vertical axis stepper motor drive up, the other horizontal axis stepper motor driver started to move forward; rotary DC motor rotation so that the whole robot motion, go to the cargo receiving area; longitudinal axis stepper motor driven down again, arrived at the designated location, Bleed valve,mechanical hand release the goods; system back to the place ready for the next action.II.Device controlTo achieve precise control purposes, according to market conditions, selection of a variety of keycomponents as follows:1. Stepper motor and driveMechanical hand vertical axis (Y axis) and horizontal (X axis) is chosen Motor Technology Co., Ltd. Beijing Stone 42BYG250C type of two-phase hybrid stepping motor, step angle of 0.9 ° / 1.8 °, current is 1.5A. M1 is the horizontal axis motor driven manipulator stretch, shrink; M2 is the vertical axis motor driven manipulator rise and fall. The choice of stepper motor drive is SH-20403 type, the drive uses 10 ~ 40V DC power supply, H-phase bridge bipolar constant current drive, the maximum output current of 3A of the 8 optional, maximum fine of 64 segments of 7 sub-mode optional optical isolation, standard single-pulse interface, with offline capabilities to maintain semi-sealed enclosure can be adapted to environmental conditions even worse, provide semi-current energy-saving mode automatically. Drive the internal switching power supply design to ensure that the drive can be adapted to a wide voltage range, the user can according to their circumstances to choose between the 10 ~ 40VDC. Generally the higher rated power supply voltage can improve high-speed torque motor, but the drive will increase the loss and temperature rise. The maximum output drive current is 3A / phase (peak), six drive-panel DIP switch on the first three can be combined 5,6,7 8 out of state, corresponding to the 8 kinds of output current from 0.9A to 3A to meet the different motors. The drive can provide full step, half step improvement, subdivision 4, 8 segments, 16 segments, 32 segments and 64segments of 7 operating modes. The use of six of the drive panel DIP switches 1,2and3 can be combined from three different states.2. Servo motors and drivesManipulator with Panasonic servo motor rotational movement A series of small inertia MSMA5AZA1G, the rated 50W, 100/200V share, rotary incremental encoder specifications (number of pulses 2500p / r, resolution of 10000p / r, Lead 11 lines) ; a seal, no brakes, shaft with keyway connections. The motor uses Panasonic's unique algorithms, the rate increased by 2 times the frequency response, to 500Hz; positioning over the past adjust the scheduled time by Panasonic servo motor products for the V Series of 1 / 4. With the resonance suppression, control, closed loop control, can make up for lack of mechanical rigidity, in order to achieve high positioning accuracy can also be an external grating to form closed loop control to further improve accuracy. With a conventional automatic gain adjustment and real-time automatic gainInterest adjustment in the automatic gain adjustment methods, which also has RS-485, RS-232C communication port, the host controller can control up to 16 axes. Servo motor drives are a series MSDA5A3A1A, applicable to small inertia motor.3. DC machine360 ° swing of the turntable can be a brushless DC motor driven organization, the system is chosen when the profit company in Beijing and the 57BL1010H1 brushless DC motor, its speed range, low-speed torque, smooth running, low noise, high efficiency. Brushless DC motor drive using the Beijing and when Lee's BL-0408 produced by the drive, which uses 24 ~ 48V DC power supply, a start-stop and steering control, over current, overvoltage and locked rotor protection, and there is failure alarm output external analog speed control,braking down so fast.4. Rotary encoderCan swing 360 °in the body on the turntable, fitted with OMRON E6A2 produced incremental rotary encoder, the encoder signals to the PLC, to achieve precise positioning of rotary bodies.5. PLC SelectionAccording to the system design requirements, the choice of OMRON CPM2A produced minicomputer. CPM2A in a compact unit integrated with a variety of properties, including the synchronization pulse control, interrupt input, pulse output, analog set and clock functions. CPM2A the CPU unit is a stand-alone unit, capable of handling a wide range of application of mechanical control, it is built in the device control unit for the ideal product. Ensure the integrity of communications and personal computers, other OMRON PC and OMRON Programmable Terminal communication. The communication capability allows the robot to Axis simple easy integration into industrial control systems.III. Software programming1. Software flow chartPLC programming flow chart is based. Only the design flow, it may be smooth and easy to prepare and write a statement form the ladder, and ultimately complete the process design. So write a flow chart of program design is critical to the task first thing to do. Axis Manipulator based on simple control requirements, drawing flow chart shown in Figure 2.Figure 2 Software flow chart2. Program partBecause space is limited, here only paper listed the first two program segment for readers see.Figure 3 Program partIV. ConclusionAxis simple robot state by the various movements and PLC control, the robot can not only meet the manual, semi-automatic mode of operation required for such a large number of buttons, switches, position detection point requirements, but also through the interface components and Computer Organization PLC industrial LAN, network communication and network control. Axis simple robot can be easily embedded into industrial production pipeline.中文译文：简易机械手及控制随着社会生产不断进步和人们生活节奏不断加快,人们对生产效率也不断提出新要求。
机械手外文翻译
机械手外文翻译LG GROUP system office room 【LGA16H-LGYY-LGUA8Q8-LGA162】本科毕业设计(论文)外文翻译（附外文原文）学院：机械与控制工程学院课题名称：搬运机械手的结构和液压系统设计专业(方向)：机械设计制造及其自动化（机械装备）班级：学生：指导教师：日期： 2015年3月10日Proceedings of the 33rd Chinese Control ConferenceJuly 28-30, 2014, Nanjing, ChinaThe Remote Control System of the ManipulatorSUN Hua, ZHANG Yan, XUE Jingjing , WU Zongkai College of Automation, Harbin Engineering University, Harbin 15000E-mail:Abstract: A remote control system of the 5 degree of freedom manipulator was designed. This manipulator was installed into ourmobile robot to constitute a remote rescue robot. The Denavit-Hartenberg method was used to establish the kinematic models and the path planning of the manipulator was researched. The operator could remote control the manipulator by the interactive interface of PCwhich could display moving picture and various data of the manipulator. The servos of the manipulator were controlled by the slave FPGA controller. In addition, the slave FPGA controller communicated withthe PC via the wireless communication module. Owing to the embedded Nios II program and IP (Intellectual Property) core generating PWM waves in FPGA, the system could control the multiple servos fast and flexible. In order to achieve real-time operation and simulation, the interactive interface was established by the mixed programming of VC and MATLAB.Key Words: The manipulator; Remote control; Denavit-Hartenberg; FPGA; Human-computer interaction1 IntroductionWith the development of the microelectronic technique and the computer technology, the manipulator has become essential equipment in the manufacturing industry. As we all known, the manipulator isusually applied to accomplish dull, onerous and repeated physical work, especially used to substitute the manual operation under the dangerous and the hazardous environment such as the corrosion and the high temperature.In this paper, the manipulator was installed our mobile robot. The tele-operation system of this manipulator was designed. The whole system is onstituted by PC and slave FPGA. The operator can remote control the manipulator by PC. The wireless communication was used for transmitting data between PC and FPGA. FPGA is controller of the the manipulator in the mobile robot. FPGA has the abundant internal resource and IP cores. And a central control option was built via an embedded Nios II program and an IP core in FPGA. Furthermore, Verilog language was adopted to design the IP core which generated digital PWM waves for controlling the manipulator. Therefore, this system could reach higher precision and easy to debug.MATLAB software was adopted to build the kinematic models of manipulator. And using D-H (the acronym of Denavit-Hartenberg) method to solve the forward and inverse kinematic equations of the manipulator, to analyze the motivation, to plan and track themotion’s path.In addition, a good interface of human-computer interaction was enhanced in the remote control system of the manipulator in PC. Moreover, the manipulator simulation technology was built by using the mixed programming of VC and MATLAB. Thus, the motion choreographs was got quickly and easily, also greatly saved time and cut the cost.2 Manipulator Model and Path PlanningAt first, the motion model of the manipulator was built. Then, the kinematic simulation and its path planning were researched. These works provided the foundation for the design of the remote control system of the manipulator.Motion Model of the ManipulatorThe manipulator was regarded as an open loop kinematic chain. It was constituted by five rotary joints. And its one end was fixed on a base while the other end was used to achieve the ability of grabbing. Therefore, it is better to establish a chain coordinate frame as shown in . The terminal position and attitude was determined via usingforward kinematic equation after knowing the rotating angle of every joint. The D-H parameter table shown as Table 1 was established by using the frames in .Coordinate frames of mechanical armTable 1 D-H Parameters of the Robot ArmDue to D-H method:T =T T +1T +1T =(TT T +1−TT T +1TT T +1TT T TT T +1TT T 0T T −TT T −TT T T T +1TT T +1TT T TT T +1TT T 00TT T TT T T T +101)Where C T T +1=cos T T +1 , S T T +1=sin T T +1 , C T T =cos T T , S T T =sin T T . The transformation matrix of every joint was given byequation (2).T 10=(cos T 1sin T 1sin T 1cos T 1000000001001) T 21=(cos T 2−sin T 200001T 1−sin T 2−cos T 2000001) T 32=(cos T 3−sin T 3sin T 3cos T 3000000001T 201) T 43=(cos T 4−sin T 40000−1−T 3sin T 4cos T 4000001) T 54=(cos T 5−sin T 5sin T 5cos T 5000000001T 401) T 50=(T T T T T T T T T T T T T T T T T T T T 00T T T T 01)=T 10T 2∗1T 3∗2T 4∗3T 5∗4 (2)Where unit vector T →,T →,T → in equation (2) was T→=TTTTTT , T →=TTTTTTTTTTT , T →=TTTTTTTT , T→=TTTTTTTT . Parameters of mechanical arm were given by T 1=85mm , T 2=116mm , T 3=85mm , T 4=95mm . Therefore the forward kinematicequation was determined by taking every parameter in equation (3).T 50=(180TT 1T (T 2+T 3)+116TT 1TT 2180TT 1T (T 2+T 3)+116TT 1TT 285+116TT 2+180T (T 2+T 3)) (3)In practical application, the manipulator was adopted to grabobjects. This required that the fixed position was given from terminalto target location. That was the inverse kinematic analysis ofmanipulator. Inverse transformation was used to determine angle of every rotary joint toward the established coordinates. And the used method of inverse transformation was the common method to solve such problem (this method also known as algebraic method).Using inversetransformation T T T −1−1separately to the left multiplication withT =50T 10T 2∗1T 3∗2T 4∗3T 5∗4 , the angle of every rotary joint （T 1 T 2 T 3 T 4 T 5）was determined. Owing to these results, the rotary angles （T 1T 2T 3）at terminal position of manipulator were totally decided by the target position [T T T T T T ]. Angle T 4 was used to change terminal attitude of the manipulator and it was changed by the known normal vector. However, angle T 5, was decided by the size of target object.Motion Simulation of the ManipulatorThe manipulator model was built and simulated via MATLAB toolbox. We could verify the rationality of the mathematical model. While the MATLAB model was established by table 1 and shown asMATLAB simulation of the manipulatorComparing to the and , the simulation model of the manipulator was coincided to the reference frame model. That was to say, the given coordinate frame was correct. These results also could be proved by the determined inverse kinematic equations via MATLAB shown in the table (2) and table (3).The target position was solved by forward kinematics. After that, the rotary angles were calculated by inverse kinematical equation. It turned out that these rotary angles coincided to the given angles. Therefore, these results verified the correctness of forward and inverse kinematical equation.Table (2) Forward Kinematics AnalyzeTable (3) Inverse Kinematics Analyze3 Path Planning of the ManipulatorThe total displacement of joint was calculated by inversekinematical equation when the manipulator moved to new position. Thus, the manipulator could move to new position. Although the manipulator finally moved to the expected position in such condition, the motion of the manipulator between these two points was unknown. Due to space limitations, motion and some certain position requirements, the manipulator was often unable to move as the above mentioned method. Therefore, the motion path was designed to coincide with the limited conditions.In this paper, we could use these certain limitations to decide some expected points. And these expected points were used to match the planning path of the manipulator’s movement. Owing to the planning path, coordinate in every part could be calculated. The rotary angleof every joint was calculated via inverse kinetical equation and these angles realized the movement of planning path. Movement of the manipulator was shown in (Where‘’ represented the points would be p assed by the manipulator;‘*’represented the expected points of every segment; ‘-’represented path planning of the manipulator). In , we could seethat the motion of the manipulator passed every planning point and the movement path coincided to the planning path.The path planning simulation of the manipulator4 Remote Control System of the Manipulato rThe remote control system of the manipulator contains the main PC and the slave FPGA controller using DE2 Board of ALTER Company. The motors of the manipulator were controlled by multipath PWM waves. And the PWM waves were generated by IP core. The FPGA controller Communicated with PC via wireless serial port. While in the PC interaction, the operator could observe the move of the manipulator in real-time and tele-control the motion of the manipulator. Also every movement of manipulator could be observed in advance via thesimulation technique. The general design of the manipulator remote control system was shown in .The block diagram of the remote control systemControl Mode of the ManipulatorThere were two control modes of the manipulator. One mode is thatthe inverse kinematical equations are calculated by FPGA straightly to determine angle of every rotary joint. Thus, the control of the manipulator was achieved. The advantage of this mode is more direct and independent to finish the control of the manipulator without the external devices. At the same time, this mode has large quantities of calculations, which occupy more internal storage and running time of FPGA. Resources of FPGA are wasted under this mode.The other mode accomplished the control of the manipulator by using VC and MATLAB in PC. Using VC and MATLAB finished a large number of complex calculations and determined angle of every rotary joint. And the angle results were transmitted to FPGA in order to accomplish the control of the manipulator. This manner saved lots of internal storage and running time. In addition, FPGA could finish other works underthis mode. But the manipulator was not under fast control in this mode.In this system, a new mode was adopted in the manipulator remote control system depending on the advantages of the two modes. Specifically, when the manipulator accomplished the specified and repeated movement the former mode was adopted under direct control by FPGA. When the manipulator wanted to achieve new motions the latter mode was used to be commanded by orders from PC. This new mode was made good use of advantages of the two modes in the above. And this new mode lightened computational burden and improved workingefficiency of the manipulator.SOPC Design for the Remote Control SystemMovement of the manipulator was controlled by servos. And the servos were controlled by PWM waves with the cycle of 20ms. Pulse width of these PWM waves was ~ corresponding to the rotary angle of servo with-90 degree to 90 degree. High precision of PWM waves were generated by IP core via Verilog in this system. The results were shown in . PWM waves controlled rotary angles of the servos via the servo drivers.The PWM IP coreMultiple of IP cores were able to be downloaded into FPGA. Andmultiple PWM waves with high precision were generated in the output. As shown in , the pulse width of these waves could be settled byprogram of Nios II. The movement of the manipulator was more flexible and in higher precision in this system.The IP cores generating PWM waveThe movement of the manipulator was accomplished by the duty ratio of PWM waves. Formula (4) inverted rotary angle T T to thecorresponding amount of the duty ratio of PWM waves. The duty ratio of PWM waves corresponded to the Nios II output.TTT T =1000000−(T T ∗50000+75000) （4） Wireless serial of 9600 baud rate was used to transmit thecoordinate and the angle information from host computer to FPGA. After that, the data and orders were analyzed by FPGA Then FPGA transmitted the movement results to interactive interface of host computer via wireless transition model. This communication was realized through adding UVRT communication protocol to FPGA.The Interactive Interface of the Remote Control SystemThe interactive interface of the remote control system was shown in . There were some functions in the interactive interface: videoobservation, the manipulator control and the simulation modeling. At first, the manipulator video could be seen from camera tointeractive interface. The operator could monitor the manipulator in real-time.Secondly, the angle and the coordinate could be set in control zone of the interactive interface. The angle of the manipulator could beset independently to each single joint. In addition, the angle settingcould be shown in real-time in the list of interactive interface (as shown in . In the set of coordinates, judging of coordinate setting assured that the total coordinates could achieve to the target points. Thus the manipulator could be controlled to move in the settled path depend on the angle information.Lastly, the MATLAB robot toolbox was embedded into this interactive interface. One interface was integrated both the control andsimulation of the manipulator. MATLAB robot toolbox was directly used by interactive interface in the manipulator modeling. Each group of information was simulated separately in order to detect whether each movement was correct. And the general simulation could test whether movement arrangement of the manipulator was reasonable. Combining with multiple simulation methods made the movement arrangement more flexible, the operation of the manipulator simpler and interface interaction more perfect.The interactive interface of the manipulator5 Experiment and SimulationIn order to verify properties of the remote control system of the manipulator, experiments of the system were under way and were comparing to the simulation system. To be specific, manipulator modeling was built by interactive interface and a group of coordinates could be designed. we could see that the manipulator modeling and control of the interactive interface design comforted to the design requirement. The comparing between experiment and simulation was shown in .The experiment and the simulation6 ConclusionIn the experiment, the 5-DOF manipulator modeling was simulated by MATLAB. In the slave FPGA board, control of the manipulator was accomplished via IP core based on the Verilog language. That greatly reduced design of the peripheral circuit, cut the cost, improved the precision and made the movement smoother without shaking. While in theinteractive interface, the mixed programming method of VC and MATLAB was embedded into the MATLAB simulation function. Thus the operability of this manipulator was enhanced. The system had a good ability of interactive interface. The whole system was verified and achieved to the expected effect. One new thing in this system was that embedded the MATLAB robot toolbox in the interactive interface. The D-H modeling, path planning and tele-operation and so on were accomplished by using this interactive interface directly. Compared to the other development tools, this interactive interface had portability, good compatibility, short development cycle and simple operation. References[1] Saeed B. Niku write, Sun Fuchun, Zhu Jihong, Liu Guodongetc translate: Robotics Introduction, Beijing, ElectronicIndustry Press, 2004(1):60-63,132-137.[2] Brady, , , , and, editors, Robot Motion; Planning and Control,MIT Press, Cambridge, Mass, 1982.[3] Paul Richard P., Robot Manipulators, Mathematics,Programming, and Control, The MIT Press 1981.[4] Li Jian, Design and Research of Multi-DOF Robot, Masterdegree theses of master of university of technology, Chineseacaedemy of sciences, 2009?20-31.[5] Cheng Liyan, Fei Ling, Su Zelang, The 5-DOF ManipulatorKinematics Simulation Analysis Based on MATLAB,Mechanical Research & Application, 2011(06).[6] Zhang Puxing Jia Qiuling, Mechanical Arm Multi-channelServo Control Design based on FPGA, Small and specialelectrical machine. 2011, 39(4)第33届中国控制会议论文集中国，南京，2014年28-30日机械手的远程控制系统孙华、张媛、薛晶晶、吴宗凯哈尔滨工程大学，哈尔滨15000学院，自动化专业电子油箱：摘要：一种5自由度机械手的远程控制系统的设计。
工业机械手外文文献翻译、中英文翻译
第一章概述1. 1机械手的发展历史人类在改造自然的历史进程中，随着对材料、能源和信息这三者的认识和用，不断创造各种工具（机器），满足并推动生产力的发展。
工业社会向信息社会发展，生产的自动化，应变性要求越来越高，原有机器系统就显得庞杂而不灵活，这时人们就仿造自身的集体和功能，把控制机、动力机、传动机、工作机综合集中成一体，创造了“集成化”的机器系统——机器人。
从而引起了生产系统的巨大变革，成为“人——机器人——劳动对象”，或者“人——机器人——动力机——工作机——劳动对象”。
机器人技术从诞生到现在，虽然只有短短三十几年的历史，但是它却显示了旺盛的生命力。
近年来，世界上对于发展机器人的呼声更是有增无减，发达国家竞相争先，发展中国家急起直追。
许多先进技术国家已先后把发展机器人技术列入国家计划，进行大力研究。
我国的机器人学的研究也已经起步，并把“机器人开发研究”和柔性制造技术系统和设备开发研究等与机器人技术有关的研究课题列入国家“七五”、“八五”科技发展计划以及“八六三”高科技发展计划。
工业机械手是近代自动控制领域中出现的一项新技术，并已经成为现代机械制造生产系统中的一个重要组成部分。
这种新技术发展很快，逐渐形成一门新兴的学科——机械手工程。
1. 2机械手的发展意义机械手的迅速发展是由于它的积极作用正日益为人们所认识：其一、它能部分地代替人工操作；其二、它能按照生产工艺的要求，遵循一定的程序、时间和位置来完成工件的传送和装卸；其三、它能操作必要的机具进行焊接和装配。
从而大大地改善工人的劳动条件，显著地提高劳动生产率，加快实现工业生产机械化和自动化的步伐。
因而，受到各先进工业国家的重视，投入大量的人力物力加以研究和应用。
近年来随着工业自动化的发展机械手逐渐成为一门新兴的学科，并得到了较快的发展。
机械手广泛地应用于锻压、冲压、锻造、焊接、装配、机加、喷漆、热处理等各个行业。
特别是在笨重、高温、有毒、危险、放射性、多粉尘等恶劣的劳动环境中，机械手由于其显著的优点而受到特别重视。
(完整版)机械手类_毕业设计外文文献翻译_
毕业设计(论文)外文资料翻译系别：专业：班级：姓名：学号：外文出处：附件： 1. 原文； 2. 译文2013年03月附件一：A Rapidly Deployable Manipulator System Christiaan J.J. Paredis, H. Benjamin Brown, Pradeep K. Khosla Abstract:A rapidly deployable manipulator system combines the flexibility of reconfigurable modular task. This article describes two main aspects of such a system, namely, the Reconfigurable Modular Manipulator System (RMMS)Robot manipulators can be easily reprogrammed to perform different tasks, yet the range of tasks that can be performed by a manipulator is limited by mechanicalstructure.Forexample, a manipulator well-suited for precise movement across the top of a table would probably no be capable of lifting the vertical direction. Therefore, to perform a given task,one needs to choose a manipulator with an appropriate mechanical structure.We propose the concept of a rapidly deployable manipulator system to address the above mentioned shortcomings of fixed configuration manipulators. As is illustrated in Figure 1, a rapidly deployable manipulator system consists of software and task.The central building block of a rapidly deployable system is a Reconfigurable Modular Manipulator System (RMMS). The RMMS utilizes a stock of interchangeable link and joint modules of various sizesand performance specifications. One such module is shown in Figure 2. By combining these general purpose modules, a wide range of special purpose manipulators can be assembled. Recently, there considerable interest in the idea of modular manipulators [2, 4, 5, 7, 9, 10, 14], for research applications as well as for industrial applications. However, most of these systems lack the property of reconfigurability, which is key to the concept of rapidly deployable systems. The RMMS is particularly easy to reconfigure thanks to its integrated quick-coupling connectors described in Section 3.Effective use of the RMMS requires, Task Based Design software. This software takes as input descriptions of the task and of the available manipulator modules; it generates as output a modular assembly configuration optimally suited to perform the given task. Several different approaches used successfully to solve simpli-fied instances of this complicated problem.A third important building block of a rapidly deployable manipulator system is a framework for the generation of control software. To reduce the complexity of softwaregeneration for real-time sensor-based control systems, a software paradigm called software assembly proposed in the Advanced Manipulators Laboratory at CMU.This paradigm combines the concept of reusable and reconfigurable software components, as is supported by the Chimera real-time operating system [15], with a graphical user interface and a visual programming language, implemented in OnikaA lthough the software assembly paradigm provides thesoftwareinfrastructure for rapidly programming manipulator systems, it does not solve the programming problem itself. Explicit programming of sensor-based manipulator systems is cumbersome due to the extensive amount of detail which must be specified for the robot to perform the task. The software synthesis problem for sensor-based robots can be simplified dramatically, by providing robust robotic skills, that is, encapsulated strategies for accomplishing common tasks in the robots task domain [11]. Such robotic skills can then be used at the task level planning stage without example of the use of a rapidly deployable system,consider a manipulator in a nuclear environment where it must inspect material and space for radioactive contamination, or assemble and repair equipment. In such an environment, widely varied kinematic (e.g., workspace) and dynamic (e.g., speed, payload) performance is required, and these requirements may not be known a priori. Instead of preparing a large set of different manipulators to accomplish these tasks—an expensive solution—one can use a rapidly deployable manipulator system. Consider the following scenario: as soon as a specific task is identified, the task based design software determinesthe task. This optimal configuration is thenassembled from the RMMS modules by a or, in the future, possibly by another manipulator. The resulting manipulator is rapidly programmed by using the software assembly paradigm and our library of robotic skills. Finally,the manipulator is deployed to perform its task.Although such a scenario is still futuristic, the development of the reconfigurable modular manipulator system, described in this paper, is a major step forward towards our goal of a rapidly deployable manipulatorsystem.Our approach could form the basis for the next generation of autonomous manipulators, in which the traditional notion of sensor-based autonomy is extended to configuration-based autonomy. Indeed, although a deployed system can it needs, it may still not be able to accomplish its task because the task is beyond the system’s physical capabilities. A rapidly deployable system, on the other task specifications and, with advanced sensing, control, and planning strategies, accomplish the task autonomously.2 Design of self-contained most industrial manipulators, the controller isa separate unit each of the joints of the manipulator. The large number of electrical connections and the non-extensible nature of such a system layout make it infeasible for modular manipulators. The solution we propose is to distribute the control become self-contained units which include sensors, an actuator, a brake, a transmission, a sensor interface, a motor amplifier, and a communication interface, as is illustrated in Figure 3. As a result, only six wires are required for power distribution and data communication.2.1 Mechanical designThe goal of the RMMS project is to in Figure 2), and one rotate joint module. The base module and the link module of the joint modules compactly fits a DC-motor, a fail-safe brake, a tachometer, a -line configuration respectively, but are identical internally. Figure 4 shows in cross-section the internal structure of a pivot joint. Each joint module includes a DC torque motor and 100:1The custom-designed on-board electronics are also designed according to the principle of modularity. Each RMMS module contains a motherboard which provides the basic functionality and onto which daughtercards can be stacked to add module specific functionality.The motherboard consists of a Siemens 80C166 microcontroller, 64K of ROM, 64K of RAM, an SMC COM20020 universal local area network controller with an RS-485 driver, and an RS-232 driver. The function of the motherboard is to establish communication with the RS-485 bus and to perform the lowlevel control of the module, as is explained in more detail in Section 4. The RS-232 serial bus driver allows for simple diagnostics and software prototyping.A stacking connector permits the addition of an indefinite number of daughtercards with various functions, such as sensor interfaces, motor controllers, RAM expansion etc. In our current implementation, only modules with actuators include a daughtercard. This card contains a 16 bit resolver to digital converter, a 12 bit AD converter to interface with the tachometer, and a 12 bit DA converter to control the motor amplifier; we ofthe-shelf motor amplifier (Galil Motion Control model SSA-880) to drive the DC-motor. For modules with more than one degree-of-freedom, for instance a wrist module, more than one such daughtercard can be stacked onto the same motherboard.3 Integrated quick-coupling connectorsTo make a modular manipulator be reconfigurable, it is necessary that the modules can be easily connected with each other. We between modules can be achieved by simply turning a ring in Figure 5, keyedflanges provide precise registration of the two modules. Turning of the locking collar on the male end produces two distinct motions: first the fingers of the locking ring rotate (with the collar) about 22.5 degrees and capture the fingers on the flanges; second, the collar rotates relative to the locking ring, while a cam mechanism forces the fingers inward to securely grip the mating flanges. A ball- transfer mechanism between the collar and locking ring automatically produces this sequence of motions.At the same time the mechanical connection is made,pneumatic and electronic connections are also established. Inside the locking ring is a modular connector that the middle. These correspond to matching female components on the mating connector. Sets of pins are wired in parallel to carry the 72V-25A power for motors and brakes, and 48V–6A power for the electronics. Additional pins carry signals for two RS-485 serial communication busses and four video busses. A plastic guide collar plus six alignment pins prevent damage to the connector pins and assure proper alignment. The plastic block rotate in the orientations LED in the female connector and eight photodetectors in the male connector.4 ARMbus communication systemEach of the modules of the RMMS communicates with a VME-based is done in a serial fashion over an RS-485 bus which runs through the length of the manipulator. We use the ARCNET protocol [1] implemented on a dedicated IC (SMC COM20020). ARCNET is a deterministic token-passing network scheme which avoids network collisions and guarantees each node its time to access the network. Blocks of information called packets may be sent from any node on the network to any one of theother nodes, or to all nodes simultaneously (broadcast). Each node may send one packet each time it gets the token. The maximum network throughput is 5Mbs.The first node of the network resides on the Figure 6. In addition to a VME address decoder, this card contains essentially the same find on a module motherboard. The communication between the VME side of the card and the ARCNET side occurs through dual-port RAM.There are two kinds of data passed over the local area network. During the manipulator initialization phase, the modules connect to the network one by one, starting at the base and ending at the end-effector. On joining the network, each module sends a data-packet to the with respect to the previous module. This information allows us to automatically determine the current manipulator configuration.During the operation phase, the the control mode—centralized or distributed. In centralized control mode, the torques for all the joints are computed on the VME-based real-time processing unit (RTPU), assembled into a data-packet by the microcontroller on the distributed control mode, on the other each module, the control loop can then be closed at a frequency much 400Hz. The modules still send sensor readings back to the the computation of the subsequent feed-forward torque.5 Modular and reconfigurable control softwareThe control software for the RMMS developed using the Chimera real-time operating system, which supports reconfigurable and reusable software components [15]. The software components used to control the RMMS are listed in Table 1. The trjjline, dls, and grav_comp componentsrequire the knowledge of certain configuration dependent parameters of the RMMS, such as the number of degrees-of-freedom, the Denavit-Hartenberg parameters etc. During the initialization phase, the RMMS interface establishes contact with each of the which order and orientation they assembled. For each module, a data file with a parametric model is read. By combining this information for all the modules, kinematic and dynamic models of the entire manipulator are built.After the initialization, the rmms software component operates in a distributed control mode in which the microcontrollers of each of the RMMS modules perform PID control locally at 1900Hz. The communication between the modules and the differ from the cycle frequency of the rmms software component. Since we use a triple buffer mechanism [16] for the communication through the dual-port RAM on the ARMbus or numerically..6 Seamless integration of simulationTo assist the user in evaluating whether an RMMS con- figuration can successfully complete a given task, we the TeleGrip robot simulation software from Deneb Inc., and runs on an SGI Crimson which is connected with the real-time processing unit through a Bit3 VME-to-VME adaptor, as is shown in Figure 6. A graphical user interface allows the user to assemble simulated RMMS configurations very much like assembling the real be tested and programmed using the TeleGrip functions for robot devices. The configurations can also be interfaced with the Chimera real-time softwarerunning on the same RTPUs used to control the actualRMMS simulation compared with the actual task execution.7 SummaryWe be assembled in a large number of different configurations to tailor the kinematic and dynamic properties of the manipulator to the task at by building kinematic and dynamic models of the manipulator; this is totally transparent to the user. To assist the user in evaluating whether a manipulator configuration is well suited for a given task, we part by DOE under grant DE-F902-89ER14042, by Sandia National Laboratories under contract AL-3020, by the Department of Electrical and Computer Engineering, and by The Robotics Institute, Carnegie Mellon University.The authors would also like to thank Randy Casciola, Mark DeLouis, Eric Hoffman, and Jim Moody for their valuable contributions to the design of the RMMS system.附件二：可迅速布置的机械手系统作者：Christiaan J.J. Paredis, H. Benjamin Brown, Pradeep K. Khosla摘要：一个迅速可部署的机械手系统，可以使再组合的标准化的硬件的灵活性用标准化的编程工具结合，允许用户迅速建立为一项规定的任务来通常地控制机械手。
机械手 RTF 文件外文翻译
中文翻译机械设计的新方法.铰接式机器人手的手指法布里齐奥·洛蒂，加布里埃莱·瓦择尔DIEM,Mech.Eng部,博洛尼亚大学,意大利,fabrizio.lotti @ mail.ing.unibo.it. DIEM,Mech.Eng部,博洛尼亚大学,意大利,gabriele.vassura @ mail.ing.unibo.it.摘要本文首先讨论了简化的原因.手指的机械结构的解决方案.机器人手应该被认为是值得的设计目标。
经过简短的讨论有关的机械.方案提出，到目前为止对于机器人手指,提出了不一样的设计方法。
它认为手指.由弯曲刚性连接结构连接.铰链,联合手段获得的驱动.可以遵循按劳分配的手指弯曲等不同的模式。
根据其中之一的一个简化模型.提出结构,与初步结果模拟,这样是为了评估可行性的概念。
技术范例.实施终于和应用的角度和问题做出简要讨论。
.1.引言在发展的拟人机器人手,设备模仿人类的手塑造过程中,尺寸和内部流动中一方有一个趋势是增加灵巧,另一个是不断增长的需求.使其成为更简单，更实用，适用的设备。
根据图【1】一双好的灵巧的双手需要通过许多方面检测试验，包括最近提出的。
至于机械.方面,目前已经有很多人提出许多设计解决方案,其中有关于整体运动学.组态,驱动方案所采用的.技术解决方案和感觉统合。
但是，现有的解决方案大多数过于复杂和笨重,没有真正适合的分布式和感应式的设备,最后还有一个重要的因素就是：把这种机器人投入到实际规模应用花费太贵。
目前的工作目标是开发和测试不同.设计理念,重点发展.，根据“标准机制”的简化结构图[2],这意味着接头的铰接式结构.柔性铰链会使手指弯曲。
考虑到机器人手的机械设计方面，这种方法很不理想。
我们现在优先解决联合,结构,驱动和传输问题等其他基本需求,想拥有一个分布式，感官系统，并获得良好的形和兼容。
接触片,不考虑与同级别这个方面优先考虑，也可以考虑好几个机器人手进行设计。
机械手外文文献和文献翻译
This is a application of Application Ser. No. 10/799,595, filed on Mar. 15, 2004 now U.S.of the spherical rotating member, a two-dimensional position sensor using a detection principle like that disclosed in Japanese Patent Laid-Open No. 10-65882 is suitably used. This sensor irradiates a spherical surface with light emitted from an irradiation source based on the optical mouse system or the like to form an irradiation pattern constituted by a high-luminance region and a relatively low-luminance region corresponding to the minute shape of the spherical surface. Movement information is then obtained by using the movement of the irradiation pattern based on the relative movement between the spherical surface and the sensor.FIG. 1 is a view which is most indicative of the main part of this embodiment. Reference numerals 20-1, 20-2, and 20-3 denote the first, second, and third elastic member vibration elements of a multiple degree-of-freedom vibration actuator, respectively; and 1-1 and 1-2, piezoelectric ceramics which generate bending vibrations and longitudinal vibrations, respectively. Each vibration element 20 is fixed/supported on a frame (not shown) with an arm portion (see 1#x2013;2#x2032; in FIG. 6) extending from an electrode plate portion for a piezoelectric ceramic in the radial direction. The driving principle and arrangement of the multiple degree-of-freedom vibration actuator will be described in detaillater.Reference numeral 2 denotes a movable member in the form of a spherical shell whose spherical surface comes into contact with the vibration element 20-1. In this embodiment, only a portion of the movable member 2 is a spherical surface, which comes into contact with the vibration element 20-1. The mechanism of driving control will be described later. Reference numeral 3 denotes a micro-hand which is integrally mounted on the mount portion of the lower portion of the movable member 2 in the form of a spherical shell. The micro-hand 3 has manipulation functions such as a function of grasping or releasing a minute object such as a cell and a function of performing a process such as forming a hole in a minute object or cutting it. The micro-hand 3 is placed near the center of the spherical surface of the movable member 2. Reference numeral 4 denotes a vessel in which a minute object such as a cell is stored. The vessel 4 is made of a transparent material such as glass. A liquid such as physiological saline solution is often contained in the vessel 4. Reference numeral 5 denotes an X-Y or X-Y-Z stage which can adjust the relative position between the micro-hand 3 and a minute object as a manipulation target object by adjusting the position of the vessel 4 on the stage; and 6, a magnifyingobservation device such as a microscope, which magnifies images of the manipulation target object and micro-hand 3 to allow observation of them. Referring to FIG. 1, the magnifying observation device 6 allows observation from below the transparent vessel 4 through the hole in the center of the X-Y-Z stage 5. Reference numeral 7 denotes a magnet which attracts and holds the movable member 2 made of iron, and also has a function of bringing the spherical surface of the movable member 2 into contact with the vibration element 20-1 with a constant pressure.The details of the multiple degree-of-freedom vibration actuator will be described. FIGS. 2A to 2D show the driving principle of this vibration actuator. A piezoelectric element 33 serving as an electro-mechanical energy converting element which provides the displacements shown in FIGS. 2B to 2D is clamped/fixed between cylindrical elastic members 31 each serving as a single vibration member. The piezoelectric element is formed by stacking a plurality of single piezoelectric element plates with electrode plates being inserted between the piezoelectric element plates as needed. This allows an alternating signal for driving to be applied to each necessary piezoelectric element plate. In this case, the piezoelectric element 33 repeats expansion and contractiondisplacements in the axial direction upon application of alternating signals, and includes the first piezoelectric element which excites longitudinal vibration as a displacement in the direction of the z-axis of the three axes, i.e., the x-axis, y-axis, and z-axis, as shown in FIG. 2B, the second piezoelectric element which excites transverse (bending) vibration within the z-x plane as shown in FIG. 2C, and the third piezoelectric element which excites transverse (bending) vibration within the z-y plane as shown in FIG. 2D. The above first piezoelectric element is uniformly polarized in the thickness direction. Each of the second and third piezoelectric elements is polarized such that the portions on both sides of the diameter have opposite polarities in the thickness direction.When, for example, alternating signals having a phase difference of 90#xb0; are applied to the second and third piezoelectric elements, two bending vibrations in the vibration member combine to form an elliptic motion around the z-axis (within the x-y plane) on the surface of the vibration member. In this case, since the natural frequency of the vibration member with respect to the x-axis is almost equal to that with respect to the y-axis, the above elliptic vibration can be generated by applying alternating signalspiezoelectric element to excite vibration of one period matching (almost matching) with one period of longitudinal vibration in the vibration member, an elliptic motion is produced within the y-z plane at a point on the surface of the vibration member, thereby obtaining a driving force in the y-axis direction (around thex-axis). In this case, since the natural frequency of the vibration member in the z-axis direction differs from the natural frequency of bending vibration within the y-z plane, the third piezoelectric element is driven in the secondary mode of the natural frequency of bending vibration in the y-axis direction, thereby matching the period of longitudinal vibration with the period of bending vibration, as shown in FIG. 2D. That is, when an alternating signal having a frequency similar to the natural frequency of a vibration member 1, e.g., an AC voltage, is applied to the first, second, and third piezoelectric elements, longitudinal vibration or transverse (bending) vibration having a natural frequency is excited in the vibration member as shown in FIGS. 2B to 2D. When an alternating signal is selectively applied to two of the first, second, and third piezoelectric elements, the longitudinal vibration of the vibration member 1 is combined with transverse (bending) vibration in a direction perpendicular to that of the longitudinal vibration to produce an elliptic motion at a point on the surface of the vibrationthe first elastic member vibration element 20-1 and the second elastic member vibration element 20-2 and between the second elastic member vibration element 20-2 and the third elastic member vibration element 20-3. A fastening bolt 22 which is inserted from the third elastic member vibration element 20-3 side and serves as a central shaft member is screwed in the female threaded portion of the first elastic member vibration element 20-1. With this structure, the piezoelectric elements 1-2 and 1-1 are clamped between the first elastic member vibration element 20-1 and the second elastic member vibration element 20-2 and between the second elastic member vibration element 20-2 and the third elastic member vibration element 20-3 so as to be integrally coupled to each other.In this embodiment, the piezoelectric element 1-2 placed between the first elastic member vibration element 20-1 and the second elastic member vibration element 20-2 is the first piezoelectric element which excites, for example, longitudinal vibration in the vibration member. The piezoelectric element 1-1 placed between the second elastic member vibration element 20-2 and the third elastic member vibration element 20-3 includes the second piezoelectric element which produces bending vibration within the x-z plane and the third piezoelectric element which produces bending vibrationwithin the y-z plane. The second and third piezoelectric elements are so positioned as to have a phase difference of 90#xb0;.The inner surface of the distal end portion of the first elastic member vibration element 20-1, which comes into contact with the movable member 2 in the form of a spherical shell and is oblique with respect to the axis, is formed into a tapered surface. In this embodiment, therefore, the movable member 2 in the form of a spherical shell can be rotated about the x-axis, y-axis, and z-axis by combining two kinds of vibrations of longitudinal vibration and vibrations in the two directions which are produced in the vibration member. For example, a combination of the vibrations shown in FIGS. 2B and 2D can rotate the movable member 2 about the z-axis, a combination of the vibrations shown in FIGS. 2B and 2C can rotate the movable member 2 about the y-axis, and a combination of the vibrations shown in FIGS. 2B and 2D can rotate the movable member 2 about the x-axis. That is, the movable member 2 can rotate about three orthogonal axes. By controlling the vibrations of the vibration elements 20, the movable member 2 can berotated/controlled about an arbitrary axis. In this case, since the micro-hand 3 is located at the center of the spherical surface of the movable member 2, only the posture of the micro-hand 3 alwayspiezoelectric elements 205a to 205d with, for example, a phase difference of 90#xb0;. By supplying alternating signals to the piezoelectric element 203 and the piezoelectric elements 205a to 205d with, for example, a phase difference of 90#xb0;, the movable member 206 can be rotated about the y-axis. When the movable member 206 is to be rotated about z-axis, alternating signals are supplied to the piezoelectric elements 203 and 204 with, for example, a phase difference of 90#xb0;According to the form of the vibration actuator shown in FIGS. 4A to 4D, a single vibration member 300 is formed by joining a cylindrical elastic member 301 to a disk-like elastic member 302. The elastic member 301 incorporates a permanent magnet (not shown) to always attract a movable member 306 (the movable member 2 in FIG.1) made of a magnetic material so as to obtain a pressing force. Four piezoelectric elements (polarized regions) 303a to 303d serving as electro-mechanical energy converting elements are arranged on the surface of the elastic member 302. By selectively supplying alternating signals to the piezoelectric elements 303a to 303d, the elastic member 301 serving as a driving portion can be displayed in the x-axis direction, y-axis direction, or z-axis direction, as shown in FIGS. 4B to 4D. When the movable member 306is to be rotated about the x-axis, a displacement in the y-axis direction (FIG. 4C) and a displacement in the z-axis direction (FIG. 4D), may be provided with, for example, a phase difference of90#xb0;. When the movable member 306 is to be rotated about the y-axis, a displacement in the x-axis direction (FIG. 4B) and a displacement in the z-axis direction (FIG. 4D) may be provided with, for example, a phase difference of 90#xb0;. When the movable member 306 is to be rotated about the z-axis, a displacement in the x-axis direction (FIG. 4B) and a displacement in the y-axis direction (FIG. 4C) may be provided with, for example, a phase difference of 90#xb0;. Alternating signals are supplied to the piezoelectric elements 303a to 303d in the same manner as in the form shown in FIGS. 3A to 3D.Alternatively, a plate-like vibration member like the one disclosed in Japanese Patent Laid-Open No. 2002-272147 may be used. FIG. 5 shows this vibration member. In this case, contact projections PC1 to PC4 are integrally formed at almost the middle portions of the four sides of a plate-like vibration member 402. A projection PG having a magnet 405 for attracting a movable member (the movable member 2 in FIG. 1) is formed at a central portion of the vibration member, and projections PE1 to PE4 are formed at the four corners of the vibration member. A vibration element 401 is formed bymagnification of the lower microscope 6-1 to allow observation with a wide visual field will allow both observation with a low magnification and a wide visual field and observation with a high magnification and a narrow visual field.Reference numerals 8-1 and 8-2 denote optical sensors, which detect relative position changes of vibration elements 20 and movable member 2. A technique like that disclosed in Japanese Patent Laid-Open No. 10-65882 can be used. The sensors 8-1 and 8-2 are identical sensors. The rotation axis and rotational speed of the movable member 2 can be obtained from movement information at two positions on the spherical surface. The sensors 8-1 and 8-2 are not limited to this system as long as they are two-dimensional position sensors. Although an example of a non-contact optical system is shown in FIG. 6, for example, a ball mouse system maybe used, in which the rotation of balls in contact with the movable member 2 are separately detected as rotation components around two axes in two directions. The sensors 8-1 and 8-2 are mounted on a base 10 with a fixed frame 9. The vibration elements 20 are mounted on the fixed frame 9 with arm portions 1#x2013;2#x2032; radially extending from an electrode plate portion for a piezoelectric ceramic1#x2013;2#x2032;. Other points are the same as those in the firstinformation and velocity information.FIG. 8 shows only a mechanism which controls the posture of a micro-hand 3. Although an X-Y-Z stage 5 and microscope 6 are arranged in the same manner as in the above embodiments, an illustration thereof is omitted in FIG. 8. Reference numeral 11 denotes a general rotary motor, which incorporates a position sensor such as an encoder. The rotary motor 11 is fixed to a fixed frame 9 along the z-axis which is the optical axis of the microscope 6 (not shown). An arm 15 is mounted on a rotating shaft 14. A rotary motor 12 similar to the rotary motor 11 is mounted on the distal end of the arm 15. An axis Z of the rotary motor 11 is perpendicular to an axis Y of the rotary motor 12. An arm 17 is also mounted on a rotating shaft 16 of the rotary motor 12. A similar rotary motor 13 is also mounted on the distal end of the arm 17. The axis Y of the rotary motor 12 is perpendicular to an axis X of the rotary motor 13. The micro-hand 3 is mounted on the distal end of a rotating shaft 18 of the rotary motor 13. The rotating shafts of the rotary motors 11, 12, and 13 pass through the distal end portion of the micro-hand 3. In this mechanism as well, the position of the distal end portion of the micro-hand 3 does not change regardless of how the rotary motors 11, 12, and 13 rotate, and hence the same function as that in the这是一个应用程序的应用系列号 10/799,595，2004 年 3 月 15 日美国英保通™技术现在提交。
机械手英语文献翻译
1 英文文献翻译1.1 Cherry-harvesting robot1.1.1 IntroductionIn Japan, cherries are harvested carefully by human labor. As the harvesting season is short, the harvesting work is concentrated in a short time period and labor shortage tends to limit the farm acreage. Moreover, cherry trees are tall, and so the harvesting work must be conducted using pairs of steps. This makes harvesting dangerous and inefficient. To save on labor, a cherry-harvesting robot was manufactured for trial purposes and initial experiments were conducted. Research on fruit-harvesting robots has already been conducted (Kawamura etal., 1984; Harrell et al., 1990; Fujiura et al., 1990; Hanten et al.,2002). Many of the fruit-harvesting robots previously reported are equipped with a video camera. Fruit images are distinguished from the background by the difference in color or the spectral reflectance. The 3-D location of the fruit was calculated using binocular stereo-vision (Kawamura et al., 1985)or by visual feedback control (Kondo and Endo, 1989). Applications of a 3-D vision sensor have also been reported (Subrata etal., 1996; Gao et al., 1997). The 3-D vision sensor has the advantage that each pixel of the image has distance information.Making use of this advantage, the object can be recognized by the 3-D shape. As for the cherry-harvesting work, it is necessary to harvest the fruit while avoiding collisions with obstacles such as leaves and stems. To obtain a successful harvesting motion, detection of obstacles as well as the red ripe fruit is required. To achieve this, a 3-D vision system that has two laser diodes was manufactured. One of them emits a red beam and the other an infrared beam. To prevent the influence of the sunlight, position sensitive devices (PSDs) were used todetect the r eflected light. By blinking the laser beams at a high frequency, the signal components of the laser from PSDs were distinguished from that of the sunlight. The 3-D shape of the object was measured by scanning the laser beams and the red fruits were distinguished from other objects by the different cein the spectral-reflection characteristics between the red andinfrared laser beams. The robot needs to harvest correctly and efficiently without damaging the fruits and branches under the environment (temperature, sunshine, etc.) of the orchard. Many cherry trees are cultivated in rain-cover vinyl tents to protect against rain. A robot that works in the tent is not exposed to wind and rain. Cherry fruit, both for the fresh market and for processing, must be harvested with its peduncle.In the case of manual harvesting, therefore, farmers grip the upper part of the peduncle with their fingers, and lift it upward to detach it from the tree. For the same reason, the robot manufactured for the experiment also gripped the upper part of the peduncle just like farmers and lifted it upward to detach the peduncle from the tree.1.1.2 Materials and methodsThe robot consists of a manipulator 4 degrees of freedom (DOF), a 3-D vision sensor, an end effector, a computer, and a traveling device (Fig. 2). It is about 1.2m high, 2.3m wide, and 1.2m long. The 3-D vision sensor is attached to the manipulator to scan from different viewpoints by the motion of the manipulator. A vacuum is used to suck the fruit into the sucking pipe of the end effector.Cherry trees cultivated by the method of single trunk training distribute their fruits around the main trunk. In order to harvest a fruit while avoiding obstacles, such as leaves and trunks, the end effector needs to approach the fruit from the outside of the trunk. For this reason, in this study, we manufactured an articulated manipulator with an axis of up-down traverse and three axes of right-left turning, so that the fruits could be harvested in any direction (Fig. 2). The up-down traverse requires comparatively large force caused by the gravity. Therefore, it is driven by an AC servomotor (Yaskawa Electric, SGMAH-01BAA2C, rated power 100W, rated torque 0.318Nm, rated speed 3000min−1) and a screw mechanism (lead 10mm). Three axes of the right–left turning do not require large torque. Axes of the first and second right–left turning are driven by small AC servomotors (Yaskawa Electric, SGMAH-A5BAA21, rated power 50W, rated torque 0.159N m,rated speed 3000min−1) and harmonic reduction gears (reduction gear ratio100). The remaining axis of right–left turning is driven by a small DC motor with reduction gears. The manipulator is designed to be able to move round the circumference of the tree trunk so that notonly fruits on the front side of the trunk but also the fruits on the other side of the trunk could be harvested.Since the fruits are located around the tree trunk, if the vision sensor scans from one viewpoint, fruits beyond the trunk are hidden. To scan from different viewpoints, the 3-D vision sensor was attached to the second arm. The movement of the manipulator changed the location and directionof the 3-D vision sensor so that the dead angle becomes small.The 3-D vision sensor is equipped with a light projector, a photo detector, and a scanning device (Fig. 3). The light projector consists of an infrared laser module, a red laser module, cold mirrors, a half mirror, and two full-reflecting mirrors. The photo detector consists of two PSDs, a lens, and a red optical filter that weakens the influence of su nlight. The scanning device consists of a galvanometer scanner and a stepping motor. The galvanometer scanner scans vertically and the stepping motor scans horizontally. Red and infrared laser beams are united in the same optical axis by a cold mirror that transmits infrared light and reflects visible right. The beam is further split into two beams (each still including both wavelengths) by a half mirror. These two beams scan the object simultaneously. Light of the two beams reflected from the object is focused onto two PSDs. The distance from the 3-D vision sensor to the object is calculated by a triangulation method using the ratio of the currents of both electrodes of the PSDs. The laser beams emit blinking signals in order to eliminate the influence of sunl ight.By this method, reflected light is separated from the sunlight, thus resulting in continuous light. Infrared light with wavelengths about 700–1000 nm is reflected well by all parts of the cherry tree. On the other hand, red light at about 690 nm is n ot reflected well by unripe fruit, leaves, and stalks, but is reflected well by red ripe fruit. In this study, an infrared light beam of830 nm and a red light beam of 690 nm were used. The infrared laser beam (830 nm) measures the distance to each part of the cherry tree from the 3-D vision sensor and the red laser beam(690 nm) detects the red fruit to be harvested.As mentioned above, the laser beam is split into two beams. The 3-D vision sensor scans these two beams simultaneously, and two pixels were measured at once to increase the scanning speed. The number of pixels was 50,000 (250 in the vertical and 200 in the horizontal direction). The scan time was 1.5 s. The field of vision was 43.8◦ in vertical direction and 40.6◦ in horizontal direction. The effective range of the sensor was from170mmto 500mm. If the object was too far from the sensor, the detected light was weakened and the measuring accuracy was not good.The reflected light from these laser beams is detected by two PSDs, one for each beam. The signals from the PSDs include red and infrared components. To acquire the red and infrared signals separately, the red and infrared laser lights were emitted at a blinking frequency of 41.6 kHz with a phase shift of 90◦. Photoelectric currents from PSDs are amplified. Red and infrared signals are detected separately using lock-in amplifiers, which also eliminate the influence of ambient light. The 3-D vision sensor can be used even under sunlight, where the illuminance is 100 klx. A red image and an infraredimage are fed to the computer, and then a range image and segmentation are obtained.The range image is calculated by triangulation using the infrared signals from anode A and B of the PSD. Segmentation is obtained from the ratio between the infrared and red signals. Red fruits were distinguished from other objects such as leaves by the reflectivity of the red laser. However, the trunk as well as the fruits reflect a red laser beam. Therefore, it was distinguished from fruits using other methods. Fruits reflect with specula phenomenon. When they are scanned, the fruit center reflects the laser beam well. How- ever, this phenomenon does not occur at the trunk surface. The center of each fruitwas recognized using this specula phenomenon. When the center of a fruit is visible from the 3-D vision sensor, fruits could be recognized by this method. By processing these images, the location of red fruits and obstacles, such as leaves and trunks, could be recognized.Fig. 4 shows examples of the image. The range image was obtained by the method of triangulation using the infrared signals of the PSD. By processing the infrared, red, and the range images, the object was segmented into red fruits and others. The image in the right side shows the result of segmentation.Cherry fruit must be harvested with its peduncle attached. The tensile strength needed to detach the fruit was measured. The strength between the peduncle and the fruit was about 1N. On the other hand, the strength between the peduncle and the branch was about 2.5N. Therefore, if the fruit was pulled it would detach the peduncle and the fruit because the strength in that area isthe weakest. To harvest the fruit with its peduncle, a special end effector was used. It consisted of a fruit sucking device, an open-close mechanism, a back-and- forth mechanism, and a pair of fingers. It is about 80 mm high, 30 mm wide, and 145 mm long (Fig. 5). The vacuum pressure from the vacuum cleaner sucks the fruit so that the fruit position is fixed at the tip of the pipe. The fin ger can be opened or closed by the rotation of a servomotor attached on the end effector. After the fingers grasp the peduncle, the end effector is lifted up to remove the peduncle from the tree.Fig. 6 shows the motion of the end effector. First, the finger s are opened and retracted by the servomotors. Then, the end effector approaches a fruit and sucks it. After sucking the fruit, the fingers move halfway forward, and close halfway until the clearance between fingers becomes 5mm. In order to enclose only the target fruit, the fingers are equipped with soft rubber components for obstacle exclusion, so that other fruits may not enter between the fingers. It is necessary to grip the peduncle as near as possible to its root . Therefore, after the fingers are closed halfway, they move further forward. Then, they close completely and grasp the peduncle. Finally, the end effector moves upward to detach the peduncle. The end effector moves to the position above a fruit box, and the fingers open and release the fruit.……1.2 樱桃采摘机器人1.2.1 简介在日本，采摘樱桃是一项细致的人工劳动。
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翻译人：王墨墨山东科技大学文献题目：Automated Calibration of Robot Coordinatesfor Reconfigurable Assembly Systems翻译正文如下：针对可重构装配系统的机器人协调性的自动校准T.艾利，Y.米达，H.菊地，M.雪松日本东京大学，机械研究院，精密工程部摘要为了实现流水工作线更高的可重构性，以必要设备如机器人的快速插入插出为研究目的。
当一种新的设备被装配到流水工作线时，应使其具备校准系统。
该研究使用两台电荷耦合摄像机，基于直接线性变换法，致力于研究一种相对位置/相对方位的自动化校准系统。
摄像机被随机放置，然后对每一个机械手执行一组动作。
通过摄像机检测机械手动作，就能捕捉到两台机器人的相对位置。
最佳的结果精度为均方根值0.16毫米。
关键词：装配，校准，机器人1 介绍21世纪新的制造系统需要具备新的生产能力，如可重用性，可拓展性，敏捷性以及可重构性[1]。
系统配置的低成本转变，能够使系统应对可预见的以及不可预见的市场波动。
关于组装系统，许多研究者提出了分散的方法来实现可重构性[2][3]。
他们中的大多数都是基于主体的系统，主体逐一协同以建立一种新的配置。
然而，协同只是目的的一部分。
在现实生产系统中，例如工作空间这类物理问题应当被有效解决。
为了实现更高的可重构性，一些研究人员不顾昂贵的造价，开发出了特殊的均匀单元[4][5][6]。
作者为装配单元提出了一种自律分散型机器人系统，包含多样化的传统设备[7][8]。
该系统可以从一个系统添加/删除装配设备，亦或是添加/删除装配设备到另一个系统；它通过协同作用，合理地解决了工作空间的冲突问题。
我们可以把该功能称为“插入与生产”。
在重构过程中，校准的装配机器人是非常重要的。
这是因为，需要用它们来测量相关主体的特征，以便在物理主体之间建立良好的协作关系。
这一调整必须要达到表1中所列到的多种标准要求。
受力单元和方向的调整是不可避免的，以便使良好的协同控制得以实现。
从几何标准上看，位置校准是最基本的部分。
一般来说，校准被理解为“绝对”，即，关于特定的领域框架；或者“相对”，即，关于另一个机器人的基本框架。
后者被称为“机器人之间的校准”。
个体机器人的校准已被广泛研究过了。
例如，运动参数的识别就非常受欢迎。
然而，很少有对机器人之间校准的研究。
玉木等人是用一种基于标记的方法，在一个可重构的装配单元内，校准机器人桌子和移动机械手之间的相互位置/方向联系。
波尼兹和夏发表了一种校准方法。
该方法通过两个机械手的机械接触来实现，实验非常耗时，并要求特别小心地操作。
在本文中，我们针对图1中所示的可重构装配系统，提出了一种自动校准方法。
在该系统中，一个机器人工作时，另一个额外机器人可以轻松插入并开始工作。
系统中安装了两台摄像机，作为快速简单设备。
该方案是为整体装配单元而开发，在协调系统中也具有更加广泛的应用。
图1：重新配置装配系统在第2节中，将介绍一种摄像机的算法问题。
第3节研究校准。
在第4、5节中，我们讨论实验结果及其应用。
第6节为总结。
2 直接线性变换我们的校准方法是基于实体坐标的3D重建技术，这些实体正是通过直接线性代数变换方法，从摄像机图像中变换而来的[10]。
尽管很多精心制作的研究方法可以作为代替，例如蔡的那种研究方法[11]，但是直接线性变换法更加简单，也能充分实现我们所需要的实验结果。
假设两个摄像头观察同一个对象，我们就可以分别用，通过每台摄像机i（i=1,2）的影像平面来表示实体的位置。
直接线性变换公式如下：式中，表示参考系中对象的位置；表示未知的直接线性变换参数。
我们把等式（1）（2）改写为u=f(x), (3)式中，。
我们可以从实体的观测结果来确定直接线性变换的参数，这些实体的坐标被称为“控制点”。
一旦直接线性变换的参数被识别，摄像机中的图像将以的形式表现出所捕获的实体3D重建坐标。
3 校准方法3.1 校准综述在本节中，我们提出我们的针对装配系统重新配置的校准方法。
通过图1中所阐释的两台摄像机，我们可以对机械手进行标记检测，而通过这一检测可以使两个机械手的基本构架得以校准。
我们在工作区内测量一个有限体积，因为对于校准每一部分体积都是必不可少的。
注意，每一个机械手都在其末端器上进行了标记。
我们打算在原有的机械手“B”的旁边安装一个新的机械手“A”。
然后，我们对A与B的基本框架之间的转化进行校准。
在基本构架内，分别用和表示A、B机械手上每一组标记的校准数据。
我们可以通过每个机械手的内部传感器（编码器）来计算和。
注意，和分别包含四组标记的坐标，这些标记通过两台摄像机捕捉。
校准程序大体概述如下：1.一名人工操作员放置好两台摄像机，以便其对机械手A和B上的标记进行观测。
2.机械手A在有限空间内独立运动，摄像机对其上的标记动作进行捕捉。
成对的被抽样标记为控制点。
3.然后机械手B在有限空间内独立移动，摄像机也对其上标记的动作进行捕捉。
成对的被抽样标记为控制点。
4.机械手之间的相互位置关系从和中计算得出。
我们的方法的显著特点：●校准程序基本是自动化的。
人工操作员只需放置好两台摄像机，不管他们在哪里都可以检测这些标记。
●摄像机的位置可以未知。
因此我们可以随机放置摄像头的位置。
●可以获得两个机械手的基础构架之间的转换。
很适合由自发的主体组成的分散系统。
●校准在有限空间内进行（我们称之为“校准空间”）。
只有在校准空间周围才能获得可靠精度，在这一空间内可以实现机器人之间的操作。
3.2 问题公式化我们将用公式来表达上述程序。
两个机器人手臂之间的校准将用于计算一个仿射变换，这一变换可以将一个参考系内的坐标转换到如下的另一个坐标系内：式中，是机械手B在机械手A的坐标系中的一组标记的坐标；表示旋转；表示转换。
我们可以把等式（4）写成通过最小化下列指数，得到h，即可实现校准：由于提供了测量的位置，在等式（6）的右边包含A的首项，表示机械手A的直接线性变换的校准误差。
包含B的第二项，表示直接线性变换的误差，以及机械手B的仿射变换。
3.3 通过迭代法进行参数识别等式（6）包含了待测量的34个参数：的11个参数，的11个参数，R的9个参数，以及p的3个参数。
尽管这34个参数中有部分是多余的（因为R有3个参数），但是所有的参数对于计算等式（6）而言都是就等价的。
在如此高维度空间内做最小化相当耗时，因此我们采用线性最小二乘法来进行迭代。
该程序如下：1.最小化计算出f。
由于等式对和是线性的，所以使用最小二乘法可计算出f的最优值。
2.用定值f最小化，从而计算出h。
由于等式对于R和p中的元素是线性的，所以使用最小二乘法可计算出h的最优值。
3.用定值h最小化J，从而计算出f。
由于等式和对和是线性的，所以使用最小二乘法可计算出f的最优值。
4.如果J值收敛于一点，就停止迭代。
否则，返回到步骤2。
注意，通过以上程序，J有可能不会收敛于总体最优值，但它却提供了一个通过微量估计达到足够精度度的最佳方法。
4 校准方面的实验结果4.1 实验装置我们建立了一个实验装置，由两套六自由度机械手和两个由如图2所示的单色电荷耦合摄像机组成。
每个机械手的手臂上都安装了一个发光二极管，用来作为校准的标记。
两台机械手都有的重复精度。
每台电荷耦合摄像机具有640*416的像素分辨率。
图2 试验设备4.2 准确度方面的结果当一个新的机器人安装好后，转换的精度取决于我们的校准方法。
摄像机的布置说明详见图3。
两个机器人依次在校准空间内移动。
注意，摄像机应放置在任何可以捕获到发光二极管标记的地方。
图3：实验中的摄像机布置（a）较大的校准空间（200[mm]维度空间）（b）较小的校准空间（100[mm]维度空间）图4：校准精度两个校准空间被用于不同尺寸的维度内：一个200mm的多维数据集和一个100mm的多维数据集。
这是为了审核空间大小对于标准误差的影响。
发光二极管标记的位置被抽样作为控制点，分布在每个维度内的2*2*2到5*5*5的坐标格网点内。
校准的准确性可用以下的误差指数来评估：（7）（8）通过校准中测得的数据进行计算，得出的和是“明显的”校准误差。
这就意味着，校准误差只有在校准进程内用坐标网格点才可以评估。
然而，由于我们需要校准空间内的相等的内插点，我们用（9）（10）来求出大量点和点的值。
因此，在机器人的实际操作中，和更接近误差。
在该实验中，我们用5*5*5的坐标网格点中的位置数据进行计算，得出和。
注意，当如图4中的时，和就分别等于和。
实验结果如图4所示。
在狭小的校准空间内，校准误差更小。
增加控制点的数量增加将减小，但会让校准时间变长。
在当前的实验中，当时，大概需要两分钟来完成校准；而当时，则大概需要十分钟。
实现精度在较大的校准空间内大约为0.33mm，在较小的校准空间内大约为0.16mm。
这些值当然要比重复精度要大得多。
前者代表“绝对精度”，被公认为是大约平均5到10倍的重复精度。
我们也将这一精度与文献的精度相比较；壮等人[12]使用协调测量仪使机械手定位精度达到0.6mm；波尼兹[9]在最大应用接触力的基础上达到了0.3mm 的精度。
因此，即使我们使用的是普通摄像机，我们的方法达到的精度也相对较高。
这足以实现机器人之间的操作，例如交接一个零件（图5）。
图5：校准之后的交接实验以下方法将进一步提高校准精度：●个体机器人的校准（比如，它们的运动参数的识别）；●使用更多的各项同性标记；●使用更高分辨率的摄像机。
5 自动校准的插入与生产“插入与生产”一词，是表示该功能的通用名称，该功能使制造系统[7][8]的可重构性成为可能。
作者已经编写了“插入与生产”的基本程序。
现在，我们定义一种新的程序，用我们的校准方法，在装配系统内安装一个新的机器人。
一个新的机器人的插入过程应当按照如下步骤执行：1.一名人工操作员请求允许在装配单元内安装一个新的机器人。
2.如果允许，操作员将机器人放置到装配单元内。
3.机器人向所有的现有装配机器人发布自己的信息，这些信息包括其活动空间和大体位置。
这些可以由人工操作员来完成。
4.每一个现有机器人，有可能是新机器人的友邻机器人，测量它与新的机器人之间操作的大体位置。
5.该新机器人和每一个友邻候选机器人在大体的测量位置周围执行自动校准程序，该程序如前文第三节所述。
6.执行完所有的校准之后，新的机器人进行装配操作。
以上所有的程序可以通过机器人之间的协调来完成。
插件程序完成后，包括新机器人在内的所有机器人通过协调，分别进行装配。
协调进程具体细节见[8]。
6 总结本文针对装配系统的可重构性，提出了一种自动校准的方法。
两个机器人基础构架之间的转换由两台摄像机进行校准，摄像机的放置要求精度不高。
在本文中，我们阐明了以下问题：●每一个机器人的基础构建由两台摄像机以及机器人上的发光二极管标记来校准。