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AI based robot safe learning and control

Zhou, Xuefeng.

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AI based robot safe learning and control

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI based robot safe learning and control/ by Xuefeng Zhou ... [et al.].
other author:	Zhou, Xuefeng.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xvii, 127 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Robots - Control systems. -
Online resource:	https://doi.org/10.1007/978-981-15-5503-9
ISBN:	9789811555039

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

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

667305
Robots
--Control systems.

LC Class. No.: TJ211.35

Dewey Class. No.: 629.892

AI based robot safe learning and control
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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 667305
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Zhou, Xuefeng. $3 3445454
710 2 $a SpringerLink (Online service) $3 836513
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)