Publication:
AI based Robot Safe Learning and Control

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datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv
dc.date.accessioned 2023-06-16T02:27:12Z
dc.date.available 2023-06-16T02:27:12Z
dc.date.issued 2020
dc.description DOI: https://doi.org/10.1007/978-981-15-5503-9 License: CC BY; Publisher: Springer
dc.description.abstract 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 work is licensed under a CC BY
dc.identifier.doi https://doi.org/10.1007/978-981-15-5503-9
dc.identifier.isbn 9789811555039
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5446
dc.language.iso en
dc.subject Safe Control
dc.subject Deep Reinforcement Learning
dc.subject Recurrent Neural Network
dc.subject Force Control
dc.subject Obstacle Ovoidance
dc.subject Adaptive Control
dc.subject Trajectory Tracking
dc.subject Open Access
dc.title AI based Robot Safe Learning and Control
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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