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AI based Robot Safe Learning and Control
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AI based Robot Safe Learning and Control

2020 ed.

by Hongmin Wu , Shuai Li , Taobo Cheng , Xiaojing Lv , Xuefeng Zhou , Zhihao Xu

Book Details

Format Hardback or Cased Book
ISBN-10 9811555028
ISBN-13 9789811555022
Edition 2020 ed.
Publisher Springer Verlag, Singapore
Imprint Springer Verlag, Singapore
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 3rd, 2020
Print length 127 Pages
Product Classification: Robotics Artificial intelligence
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This open access book mainly focuses on the safe control of robot manipulators. 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.
Adaptive Jacobian based Trajectory Tracking for Redundant Manipulators with Model Uncertainties in Repetitive Tasks.- RNN based Trajectory Control for Manipulators with Uncertain Kinematic Parameters.- RNN Based Adaptive Compliance Control for Robots with Model Uncertainties.- Deep RNN based Obstacle Avoidance Control for Redundant Manipulators   

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