AI based Robot Safe Learning and Control
(Sprache: Englisch)
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...
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Klappentext zu „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.
Inhaltsverzeichnis zu „AI based Robot Safe Learning and Control “
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 Autoren-Porträt von Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv
Dr. Xuefeng Zhou is an Associate Professor and Leader of the Robotics Team at Guangdong Institute of Intelligent Manufacturing, Guangdong Academy of Science. He received his Ph.D. degree in Manufacturing and Automation from South China University of Technology in 2011. His research mainly focuses on motion planning and control, force control, and legged robots. He has published more than 40 journal articles and conference papers. Dr. Zhihao Xu is a Researcher at Guangdong Institute of Intelligent Manufacturing, Guangdong Academy of Science. He received his Ph.D. degree in Control Science and Engineering from Nanjing University of Science and Technology, China, in 2016. His research mainly focuses on intelligent control theory, motion planning and control and force control. He has published more than 30 journal articles and conference papers.
Bibliographische Angaben
- Autoren: Xuefeng Zhou , Zhihao Xu , Shuai Li , Hongmin Wu , Taobo Cheng , Xiaojing Lv
- 2020, 1st ed. 2020, XVII, 127 Seiten, 35 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811555052
- ISBN-13: 9789811555053
Sprache:
Englisch
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