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999			_c94465 _d94465
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006			m o d
007			cr cnu|||unuuu
008			200622s2020 si a ob 000 0 eng d
015			_aGBC080962 _2bnb
016	7		_a019823646 _2Uk
020			_a9789811555022 _q(print)
020			_a9789811555039 _q(electronic bk.)
020			_a9811555036 _q(electronic bk.)
024	7		_a10.1007/978-981-15-5503-9 _2doi
024	8		_a10.1007/978-981-15-5
035		9	_a(OCLCCM-CC)1159235503
035			_a(OCoLC)1159235503 _z(OCoLC)1162220834 _z(OCoLC)1163842895 _z(OCoLC)1173821759 _z(OCoLC)1182525712 _z(OCoLC)1183405725
040			_aGW5XE _beng _erda _epn _cGW5XE _dYDX _dLQU _dUKMGB _dORU _dOCLCF _dEBLCP _dOCLCQ _dCOM _dOCLCO _dOCLCQ _dOCLCO _dOCLCL _dTEFOD _dNUI _dOCLCQ _dN$T _dUEJ _dOCLCQ
041			_aeng
049			_aMAIN
050		4	_aTJ211.35
082	0	0	_223
100	1		_aZhou, Xuefeng, _eauthor.
245	1	0	_aAI based robot safe learning and control / _cXuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv.
264		1	_aSingapore : _bSpringer, _c2020.
300			_a1 online resource (xvii, 127 pages) : _billustrations (some color)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references.
505	0		_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.
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.
540			_aCreative Commons Attribution 4.0 International _fCC BY 4.0 _uhttp://creativecommons.org/licenses/by/4.0/
588	0		_aOnline resource; title from PDF title page (SpringerLink, viewed June 22, 2020).
650		0	_aRobots _xControl systems. _0http://id.loc.gov/authorities/subjects/sh89001406
650		0	_aArtificial intelligence. _0http://id.loc.gov/authorities/subjects/sh85008180
650		2	_aArtificial Intelligence _0https://id.nlm.nih.gov/mesh/D001185
655		4	_aElectronic books.
700	1		_aXu, Zhihao, _eauthor.
700	1		_aLi, Shuai, _d1983- _eauthor. _1https://id.oclc.org/worldcat/entity/E39PBJp9qD9J3G8QdGrbJw97HC _0http://id.loc.gov/authorities/names/n2018059983
700	1		_aWu, Hongmin, _eauthor.
700	1		_aCheng, Taobo, _eauthor.
700	1		_aLv, Xiaojing, _eauthor.
856	4	0	_uhttps://directory.doabooks.org/handle/20.500.12854/32049 _yFull text is available at the Directory of Open Access Books. Click here to view.
942			_2ddc _cOA