AI based Robot Safe Learning and Control free ebook download.

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AI based Robot Safe Learning and Control free ebook download

Category:
Control Theory

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Catalogue

Author(s):	Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv

Date:	2020-09-13	Format:	pdf	Language:	English	ISBN/ASIN:	9811555028
Pages:	130	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	6/4/2020 12:19:27 PM

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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 undergraduate and graduate students in colleges and universities.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2794544	Book	https://nitroflare.com/view/F3087D797861...		9.14	maveriks

Tags: based Control Learning Robot Safe

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