人工智能及机器人课题检索

文献检索课程姓名 _________ 班级 _______ 学号___________ 检索课题（中文） __________________________（英文） __________________________人工智能及机器人课题检索1：检索途径：中文数据库——清华数据库——主题词“人工智能及机器人”浅谈自动化技术与人工智能的发展对机器人研究的影响电子制作, Practical Electronics,编辑部邮箱,2013年05期[给本刊投稿]【作者】王晓言；【机构】济南中油西瓦克控制设备有限公司；【摘要】机器人一词由来已久,但时至今日国际上还未有一个完善的定义被广泛认可。

尽管如此,随着自动化技术的产生和高速发展,特别是人工智能的产生和发展.机器人技术有了长足的进步,人们在不断探索中发明和使用不同类型的机器人为人类服务。

【关键词】自动化技术；人工智能；机器人；【所属期刊栏目】科学论坛（2013年05期）浅谈我国工业机器人技术现状与产业化发展西部资源, Westem Resources,编辑部邮箱,2015年06期[给本刊投稿]【作者】杜欣悦；【机构】湖南省长沙市实验中学；【摘要】工业机器人是一种集计算机科学技术、电子工程技术、机械工程技术、信息传感器技术、人工智能学、控制理论等学科于一体的高新技术,工业机器人技术是目前各个国家研究的重点技术,本文主要针对我国工业机器人技术现状与产业化发展进行分析。

【关键词】我国工业机器人；技术现状；产业化发展；2: 检索途径：中文数据库——万方数据库——主题词“人工智能及机器人”浅谈人工智能在机械电子工程中的应用0推荐查看全文下载全文导出添加到引用通知分享到|下载PDF阅读器doi：10.3969/j.issn.2095-6630.2015.33.565摘要：改革开放以来,机械电子工程得到了快速发展,在生产生活中的地位也不断提高.然而,在发挥着巨大作用的同时,对于科学技术水平的提高也迫在眉睫.通过人工智能在机械电子工程中的应用,能够为机械电子工程的未来发展提供更多更好的机遇.本文通过对人工智能和机械电子工程的分析,从而探讨人工智能在机械电子工程中的应用前景.作者：汤敏作者单位：江苏和兴建筑装饰工程有限公司刊名：建筑工程技术与设计Journal：Architectural Engineering Technology and Besign年，卷(期) ：2015, (33)关键词：人工智能机械电子工程机器人在线出版日2015年12月30日期：3：检索途径：中文数据库——维普数据库——主题词“人工智能及机器人”面向作业与人工智能的仿人机器人研究进展Research progress of humanoid robots for mobile operation and artificial intelligence加关注用中文期刊手机助手扫描关注作者：吴伟国[1]WU Weiguo （School of Mechatronics Engineering, Harbin Institute of Technology, 150001 Harbin, China）机构地区：[1]哈尔滨工业大学机电工程学院,哈尔滨150001出处：《哈尔滨工业大学学报》2015年第7期1-19,共19页Journal of Harbin Institute of Technology 基金：国家高技术研究发展计划（863-2006AA04Z201）摘要：以人类自身为原型参照的仿人全身机器人是国际机器人研究领域最具代表性的研究对象,也是机器人学、机器人技术以及人工智能的终极研究目标.针对国际上目前在仿人全身机器人、仿人头部、多指手、仿人双足步行机等方面理论与关键技术进行了全面回顾、综述与分析,包括作者在仿人机器人方面相关研究工作的回顾;归纳总结了目前仿人全身机器人技术程度,从驱动元部件、步行稳定性、本体集成化设计、操作能力以及环境适应性等角度分别提出了目前存在的主要技术问题以及今后发展的趋势;为从事与仿人机器人及其各组成部分相关研究的科研人员以及相关科技管理部门提供参考.Whole-body humanoid robot,which regards human beings as the reference prototype,is the most representative research object and the ultimate goal of robotics,robot technology and artificial prehensivereview,summary and analysis of current theories and key technologies in whole-body humanoidrobot,humanoid head,multi-finger hand,humanoid biped walking machine and so on are given,including review of the relevant works on humanoid robots by the author. By summarizing the current technical level of humanoid robots ＇development,the main technical problems and the trend of the future development are respectively discussed in the aspects of driving elements,walking stability,integrated designation and operation ability of the mechanical systems,environment adaptability and so on. References of decision making are provided for researchers and managers engaged in the relevant works of humanoid robots and their components.关键词：仿人机器人双足步行表情机器人多指手多移动方式分类号：TP242.6[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]机器人产业大军全面出击人工智能前景广阔加关注出处：《机床与液压》2015年第8期81-81,共1页Machine Tool ＆Hydraulics摘要：4月22日召开的人工智能与服务型机器人论坛上，来自北京市科委、中国机器人产业联盟的相关领导透露，我国将加快推动发展人工智能，加快国产机器人产业的发展，提升竞争力扩大市场份额。

关键词：机器人产业人工智能工业机器人自动化分类号：TP242[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]4：检索途径：外文数据库——万方外文文献数据库——主题词“artificial intelligence”Advancing artificial intelligence research and dissemination through conference series: Benchmark, scientific impact and the MICAI experience0推荐关键词：Artificial intelligence Al research and development Scientific impact of Al 正文语种：eng5检索途径：外文数据库——ACS数据库——TITLE“artificial intelligence”Electron-transfer reactions in proteins:an artificial intelligence approach to electronic coupling Prabha Siddarth, R. A. MarcusJ. Phys. Chem., 1993, 97 (10), pp 2400–2405DOI: 10.1021/j100112a047Publication Date: March 1993Note: In lieu of an abstract, this is the article's first page.Click to increase image size6:检索途径：外文数据库——springer数据库——TITLE“artificial intelligence”Annals of Mathematics and Artificial IntelligenceApril 2008, Volume 52,Issue 2, pp 107-108First online: 04 March 2009Editorial: Annals of Mathematics and Artificial Intelligence special issue on multi-robot coverage, search, and exploration•Gal A. Kaminka•, Amir ShapiroTitleEditorial: Annals of Mathematics and Artificial Intelligence special issue on multi-robot coverage, search, and explorationJournalAnnals of Mathematics and Artificial Intelligence Volume 52, Issue 2-4 , pp 107-108Cover Date2008-04DOI10.1007/s10472-008-9105-6Print ISSN1012-2443Online ISSN1573-7470PublisherSpringer NetherlandsAdditional Links•Register for Journal Updates•Editorial Board•About This Journal•Manuscript SubmissionTopics•Complexity•Mathematics, general•Computer Science, general•Artificial Intelligence (incl. Robotics)Industry Sectors•Pharma•Biotechnology•Electronics•IT & Software•Telecommunications•AerospaceAuthors•Gal A. Kaminka(1)•Amir Shapiro(2)Author Affiliations• 1. Computer Science Department, Bar Ilan University, Ramat Gan, 52900, Israel• 2. Mechanical Engineering Department, Ben Gurion University of the Negev, P.O. Box 653, Beer Sheva, 84105, Israel7：检索途径：外文数据库——IEEE网络电子版期刊——TITLE“artificial intelligence”A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control 5Author(s)Vui Ann Shim ; Institute for Infocomm Research, A*STAR, Singapore ; Chris Stephen Naveen Ranjit ; Bo Tian ; Miaolong Yuanmore authorsThe study of cerebellum has resulted in a common agreement that it is implicated in motorlearning for movement coordination. Learning governed by error signal through synapticeligibility traces has been proposed to be a learning mechanism in cerebellum. In this paper, we extend this idea and suggest a simplified and improved cerebellar model with priority-baseddelayed eligibility trace learning rule (S-CDE) that enables a mobile robot to freely and smoothly navigate in an environment. S-CDE is constructed in a brain-based device which mimics theanatomy, physiology, and dynamics of cerebellum. The input signal in terms of depth information generated from a simulated laser sensor is encoded as neuronal region activity for velocity and turn rate control. A priority-based delayed eligibility trace learning rule is proposed to maximize the usage of input signals for learning in synapses on Purkinje cell and cells in the deep cerebellar nuclei of cerebellum. Error signal generation and input signal conversion algorithms for turn rate and velocity are designed to facilitate training in an environment containing turns of varying curvatures. S-CDE is tested on a simulated mobile robot which had to randomly navigate maps of Singapore and Hong Kong expressways.Published in:Page(s):26 - 38ISSN :1943-0604INSPEC Accession Number:14982520DOI:10.1109/TAMD.2014.2377093Date of Publication :23 十二月 2014Date of Current Version :11 三月 2015Issue Date :March 2015Sponsored by :IEEE Computational Intelligence SocietyPublisher:IEEEMultistep Prediction of Physiological Tremor Based on Machine Learning for Robotics Assisted Microsurgery3Author(s)Sivanagaraja Tatinati ; School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, Korea ; Kalyana C. Veluvolu ; Wei Tech AngFor effective tremor compensation in robotics assisted hand-held device, accurate filtering of tremulous motion is necessary. The time-varying unknown phase delay that arises due to both software (filtering) and hardware (sensors) in these robotics instruments adversely affects the device performance. In this paper, moving window-based least squares support vector machines approach is formulated for multistep prediction of tremor to overcome the time-varying delay. This approach relies on the kernel-learning technique and does not require the knowledge of prediction horizon compared to the existing methods that require the delay to be known as a priori. The proposed method is evaluated through simulations and experiments with the tremor data recorded from surgeons and novice subjects. Comparison with the state-of-the-art techniques highlights the suitability and better performance of the proposed method.Published in:IEEE Transactions on Cybernetics (Volume:45 , Issue: 2 )Page(s):328 - 339ISSN :2168-2267INSPEC Accession Number:14854076DOI:10.1109/TCYB.2014.2381495Date of Publication :25 十二月 2014Date of Current Version :13 一月 2015Issue Date :Feb. 2015Sponsored by :Systems, Man, and Cybernetics SocietyPubMed ID :25546872Publisher:IEEE。