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AI based Robot Safe Learning and Control / / by Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv



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Autore: Zhou Xuefeng Visualizza persona
Titolo: AI based Robot Safe Learning and Control / / by Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv Visualizza cluster
Pubblicazione: Singapore, : Springer Nature, 2020
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XVII, 127 p. 42 illus., 35 illus. in color.)
Disciplina: 629.892
Soggetto topico: Robotics
Automation
Control engineering
Artificial intelligence
Robotics and Automation
Control and Systems Theory
Artificial Intelligence
Soggetto non controllato: Robotics and Automation
Control and Systems Theory
Artificial Intelligence
Robotic Engineering
Safe Control
Deep Reinforcement Learning
Recurrent Neural Network
Force Control
Obstacle Ovoidance
Adaptive Control
Trajectory Tracking
Open Access
Robotics
Automatic control engineering
Artificial intelligence
Persona (resp. second.): XuZhihao
LiShuai
WuHongmin
ChengTaobo
LvXiaojing
Nota di contenuto: 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 .
Sommario/riassunto: 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.
Titolo autorizzato: AI based Robot Safe Learning and Control  Visualizza cluster
ISBN: 981-15-5503-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910404223103321
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