000937554 000__ 03152cam\a2200505Ii\4500 000937554 001__ 937554 000937554 005__ 20230306151839.0 000937554 006__ m\\\\\o\\d\\\\\\\\ 000937554 007__ cr\cn\nnnunnun 000937554 008__ 200622s2020\\\\si\a\\\\ob\\\\000\0\eng\d 000937554 019__ $$a1162220834 000937554 020__ $$a9789811555039$$q(electronic book) 000937554 020__ $$a9811555036$$q(electronic book) 000937554 020__ $$z9789811555022 000937554 0247_ $$a10.1007/978-981-15-5503-9$$2doi 000937554 0247_ $$a10.1007/978-981-15-5 000937554 035__ $$aSP(OCoLC)on1159235503 000937554 035__ $$aSP(OCoLC)1159235503$$z(OCoLC)1162220834 000937554 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dLQU 000937554 049__ $$aISEA 000937554 050_4 $$aTJ211.35 000937554 08204 $$a629.8/92$$223 000937554 1001_ $$aZhou, Xuefeng,$$eauthor. 000937554 24510 $$aAI based robot safe learning and control /$$cXuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv. 000937554 264_1 $$aSingapore :$$bSpringer,$$c2020. 000937554 300__ $$a1 online resource (xvii, 127 pages) :$$billustrations. 000937554 336__ $$atext$$btxt$$2rdacontent 000937554 337__ $$acomputer$$bc$$2rdamedia 000937554 338__ $$aonline resource$$bcr$$2rdacarrier 000937554 504__ $$aIncludes bibliographical references. 000937554 5050_ $$aAdaptive Jacobian based Trajectory Tracking for Redundant Manipulators with Model Uncertainties in Repetitive Tasks -- RNN based Trajectory Control for Manipulators with Uncertain Kinematic Parameters -- RNN Based Adaptive Compliance Control for Robots with Model Uncertainties -- Deep RNN based Obstacle Avoidance Control for Redundant Manipulators. 000937554 506__ $$aAccess limited to authorized users. 000937554 520__ $$aThis open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities. 000937554 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 22, 2020). 000937554 650_0 $$aRobots$$xControl systems. 000937554 650_0 $$aArtificial intelligence. 000937554 7001_ $$aXu, Zhihao,$$eauthor. 000937554 7001_ $$aLi, Shuai,$$d1983-$$eauthor. 000937554 7001_ $$aWu, Hongmin,$$eauthor. 000937554 7001_ $$aCheng, Taobo,$$eauthor. 000937554 7001_ $$aLv, Xiaojing,$$eauthor. 000937554 852__ $$bebk 000937554 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-5503-9$$zOnline Access$$91397441.1 000937554 909CO $$ooai:library.usi.edu:937554$$pGLOBAL_SET 000937554 980__ $$aEBOOK 000937554 980__ $$aBIB 000937554 982__ $$aEbook 000937554 983__ $$aOnline 000937554 994__ $$a92$$bISE