AI Based Robot Safe Learning and Control de Xuefeng Zhou

AI Based Robot Safe Learning and Control

Xuefeng Zhou

Zhihao Xu

Shuai Li

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.

This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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	Preț	Express
Paperback (1)	366^.53 lei 39-44 zile
Saint Philip Street Press – 8 oct 2020	366^.53 lei 39-44 zile
Hardback (1)	458^.91 lei 39-44 zile
Saint Philip Street Press – 8 oct 2020	458^.91 lei 39-44 zile

Preț

Express

Paperback (1)

366^.53 lei 39-44 zile

Saint Philip Street Press – 8 oct 2020

366^.53 lei 39-44 zile

Hardback (1)

458^.91 lei 39-44 zile

Saint Philip Street Press – 8 oct 2020

458^.91 lei 39-44 zile