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...

詳細記述

書誌詳細

主要な著者:	Zhou, Xuefeng, Xu, Zhihao, Li, Shuai, Wu, Hongmin, Cheng, Taobo, Lv, Xiaojing
フォーマット:	Online
言語:	英語
出版事項:	Springer Nature 2021
主題:	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
オンライン･アクセス:	ONIX_20200615_9789811555039_56
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