000			04125nam a22006255i 4500
001			978-981-15-5503-9
003			DE-He213
005			20210511120021.0
007			cr nn 008mamaa
008			200602s2020 si | s |||| 0|eng d
020			_a9789811555039 _9978-981-15-5503-9
024	7		_a10.1007/978-981-15-5503-9 _2doi
050		4	_aTJ210.2-211.495
050		4	_aT59.5
072		7	_aTJFM1 _2bicssc
072		7	_aTEC037000 _2bisacsh
072		7	_aTJFM1 _2thema
082	0	4	_a629.892 _223
100	1		_aZhou, Xuefeng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _93443
245	1	0	_aAI based Robot Safe Learning and Control _h[electronic resource] / _cby Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv.
250			_a1st ed. 2020.
264		1	_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2020.
300			_aXVII, 127 p. 42 illus., 35 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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 .
506	0		_aOpen Access
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.
650		0	_aRobotics. _9481
650		0	_aAutomation. _9955
650		0	_aControl engineering. _93444
650		0	_aArtificial intelligence. _93445
650	1	4	_aRobotics and Automation. _0https://scigraph.springernature.com/ontologies/product-market-codes/T19020 _9957
650	2	4	_aControl and Systems Theory. _0https://scigraph.springernature.com/ontologies/product-market-codes/T19010 _93446
650	2	4	_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 _93447
700	1		_aXu, Zhihao. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _93448
700	1		_aLi, Shuai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _93449
700	1		_aWu, Hongmin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _93450
700	1		_aCheng, Taobo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _93451
700	1		_aLv, Xiaojing. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _93452
710	2		_aSpringerLink (Online service) _9141
776	0	8	_iPrinted edition: _z9789811555022
776	0	8	_iPrinted edition: _z9789811555046
776	0	8	_iPrinted edition: _z9789811555053
856	4	0	_uhttps://doi.org/10.1007/978-981-15-5503-9
912			_aZDB-2-INR
912			_aZDB-2-SXIT
912			_aZDB-2-SOB
942			_cEBK _w1 _xAdministrator Library _y1 _z Administrator Library
999			_c749 _d749
773			_tSpringer Nature Open Access eBook