國立高雄大學圖資館 |

Language: English

Back

AI based robot safe learning and control

SpringerLink (Online service)

AI based robot safe learning and control

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI based robot safe learning and controlby Xuefeng Zhou ... [et al.].
other author:	Zhou, Xuefeng.
Published:	Singapore :Springer Singapore :2020.
Description:	xvii, 127 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	RobotsControl systems.
Online resource:	https://doi.org/10.1007/978-981-15-5503-9
ISBN:	9789811555039$q(electronic bk.)

AI based robot safe learning and control
AI based robot safe learning and control[electronic resource] /by Xuefeng Zhou ... [et al.]. - Singapore :Springer Singapore :2020. - xvii, 127 p. :ill. (some col.), digital ;24 cm.

Adaptive 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.

Open access.

This 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.

ISBN: 9789811555039$q(electronic bk.)

Standard No.: 10.1007/978-981-15-5503-9doiSubjects--Topical Terms:

182098
Robots
--Control systems.

LC Class. No.: TJ211.35

Dewey Class. No.: 629.892

AI based robot safe learning and control
LDR:02345nmm a2200337 a 4500 001 579780
003 DE-He213
005 20201005135605.0
006 m
007 cr
008 201229s2020
020 $a 9789811555039$q(electronic bk.)
020 $a 9789811555022$q(paper)
024 7 $a 10.1007/978-981-15-5503-9 $2 doi
035 $a 978-981-15-5503-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211.35
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.892 $2 23
090 $a TJ211.35 $b .A288 2020
245 0 0 $a AI based robot safe learning and control $h [electronic resource] / $c by Xuefeng Zhou ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xvii, 127 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Adaptive 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 $a Open access.
520 $a This 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 $a Robots $x Control systems. $3 182098
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Robotics and Automation. $3 357111
650 2 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Zhou, Xuefeng. $3 861741
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-15-5503-9
950 $a Intelligent Technologies and Robotics (Springer-42732)