Affichage professionnel: 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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Auteurs principaux:	Zhou, Xuefeng, Xu, Zhihao, Li, Shuai, Wu, Hongmin, Cheng, Taobo, Lv, Xiaojing
Format:	Livre numérique
Langue:	Anglais
Publié:	Springer Nature 2021
Sujets:	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
Accès en ligne:	Accès Université d'Orléans et IFPM Accès INSA CVL

id	doab-20.500.12854_32049
record_format	doab
format	Livre numérique
building	0/Bibliothèque numérique/ 1/Bibliothèque numérique/DOAB/
spelling	doab-20.500.12854_320492025-07-30T10:21:01Z AI based Robot Safe Learning and Control Zhou, Xuefeng Xu, Zhihao Li, Shuai Wu, Hongmin Cheng, Taobo Lv, Xiaojing 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 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 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. 2021-02-10T13:55:42Z 2021-02-10T13:55:42Z 2020-06-15T15:10:50Z 2020 book ONIX_20200615_9789811555039_56 OCN: 1229572191 http://library.oapen.org/handle/20.500.12657/39583 https://directory.doabooks.org/handle/20.500.12854/32049 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/39583/1/2020_Book_AIBasedRobotSafeLearningAndCon.pdf https://library.oapen.org/bitstream/20.500.12657/39583/1/2020_Book_AIBasedRobotSafeLearningAndCon.pdf https://library.oapen.org/bitstream/20.500.12657/39583/1/2020_Book_AIBasedRobotSafeLearningAndCon.pdf Springer Nature Springer 10.1007/978-981-15-5503-9 10.1007/978-981-15-5503-9 9fa3421d-f917-4153-b9ab-fc337c396b5a Springer 127 Singapore open access
institution	INSA
collection	DOAB
language	Anglais
topic	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 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
spellingShingle	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 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 Zhou, Xuefeng Xu, Zhihao Li, Shuai Wu, Hongmin Cheng, Taobo Lv, Xiaojing AI based Robot Safe Learning and Control
description	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.
author	Zhou, Xuefeng Xu, Zhihao Li, Shuai Wu, Hongmin Cheng, Taobo Lv, Xiaojing
author_facet	Zhou, Xuefeng Xu, Zhihao Li, Shuai Wu, Hongmin Cheng, Taobo Lv, Xiaojing
author_sort	Zhou, Xuefeng
title	AI based Robot Safe Learning and Control
title_short	AI based Robot Safe Learning and Control
title_full	AI based Robot Safe Learning and Control
title_fullStr	AI based Robot Safe Learning and Control
title_full_unstemmed	AI based Robot Safe Learning and Control
title_sort	ai based robot safe learning and control
publisher	Springer Nature
publishDate	2021
url	https://ezproxy.univ-orleans.fr/login?url=https://directory.doabooks.org/handle/20.500.12854/32049 https://ezproxy.insa-cvl.fr/login?url=https://directory.doabooks.org/handle/20.500.12854/32049
_version_	1877238562840117248

AI based Robot Safe Learning and Control

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