AI based Robot Safe Learning and Control

Language: English

Published by Springer Verlag, Singapore, SG, 2020

9811555052 / 9789811555053

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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 undergraduateand graduate students in colleges and universities.

Seller Inventory # LU-9789811555053

Title
AI based Robot Safe Learning and Control
Author
Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv
Publisher
Springer Verlag, Singapore, SG
Publication year
2020
Condition
New
Binding
Paperback
Language
English
ISBN 10
9811555052
ISBN 13
9789811555053
Edition
2020 ed.

Rarewaves.com UK

London, United Kingdom

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