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AI based Robot Safe Learning and Control

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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...

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Dettagli Bibliografici
Autore principale: Zhou, Xuefeng (auth)
Altri autori: Xu, Zhihao (auth), Li, Shuai (auth), Wu, Hongmin (auth), Cheng, Taobo (auth), Lv, Xiaojing (auth)
Natura: Elettronico Capitolo di libro
Lingua:inglese
Pubblicazione: Singapore Springer Nature 2020
Soggetti:
Robotics
Automatic control engineering
Artificial intelligence
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
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