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portada AI Based Robot Safe Learning and Control
Type
Physical Book
Author
Publisher
Language
English
Pages
127
Format
Hardcover
Dimensions
23.4x15.6x1 cm
Weight
0.39 kg.
ISBN13
9789811555022
Categories

AI Based Robot Safe Learning and Control

Shuai Li (Author) · Xuefeng Zhou (Author) · Zhihao Xu (Author) · Springer · Hardcover

AI Based Robot Safe Learning and Control - Zhou, Xuefeng ; Xu, Zhihao ; Li, Shuai

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Synopsis "AI Based Robot Safe Learning and Control"

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.

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