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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.

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Detail Information
Series Title
-
Call Number
000
Publisher
: Springer Nature.,
Collation
-
Language
English
ISBN/ISSN
978-981-15-5503-9
Classification
000
Content Type
text
Media Type
other
Carrier Type
-
Edition
-
Subject(s)
Computers
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Erwin Hendarto
Source
-
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No other version available

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