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    AI based Robot Safe Learning and Control

    AI based Robot Safe Learning and Control

    Xuefeng ZhouZhihao XuShuai LiHongmin WuTaobo ChengXiaojing Lv

    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.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.

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    Description of 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 de

    Additional Information

    Vendor

    Publication

    Publish Date

    2020 Jun 24

    Authors
    Xuefeng ZhouZhihao XuShuai LiHongmin WuTaobo ChengXiaojing Lv

    ISBN

    978-981-15-5503-9

    About the authors

    Xuefeng Zhou
    Xuefeng Zhou

    Robotic Team Guangdong Institute of Intelligent Manufacturing Guangzhou, Guangdong, China

    Xuefeng Zhou
    Zhihao Xu

    Robotic Team Guangdong Institute of Intelligent Manufacturing Guangzhou, Guangdong, China

    Zhihao Xu
    Shuai Li

    School of Engineering Swansea University Swansea, UK

    Shuai Li
    Hongmin Wu
    Hongmin Wu

    Robotic Team Guangdong Institute of Intelligent Manufacturing Guangzhou, Guangdong, China

    Hongmin Wu
    Taobo Cheng
    Taobo Cheng

    Robotic Team Guangdong Institute of Intelligent Manufacturing Guangzhou, Guangdong, China

    Taobo Cheng
    Xiaojing Lv
    Xiaojing Lv

    School of Aircraft Maintenance Engineering Guangzhou Civil Aviation College Guangzhou, Guangdong, China

    Xiaojing Lv

    Tags

    Safe ControlDeep Reinforcement LearningRecurrent Neural NetworkForce ControlObstacle OvoidanceAdaptive ControlTrajectory Trackingopen access

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