AI based Robot Safe Learning and Control

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...

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Detalhes bibliográficos
Auteurs principaux: Zhou, Xuefeng, Xu, Zhihao, Li, Shuai, Wu, Hongmin, Cheng, Taobo, Lv, Xiaojing
Formato: Livre numérique
Idioma:Anglais
Publicado em: Springer Nature 2021
Assuntos:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Acesso em linha:Accès Université d'Orléans et IFPM
Accès INSA CVL

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