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  • Language: English

    Published by Springer, 2020

    9811555052 / 9789811555053

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  • Language: English

    Published by Springer Verlag, Singapore, SG, 2020

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    Paperback. Condition: New. 2020 ed. 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 undergraduateand graduate students in colleges and universities.…

  • Language: English

    Published by Springer, 2020

    9811555052 / 9789811555053

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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    Condition: New. pp. XVII, 127 42 illus., 35 illus. in color. 2020th edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

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  • Language: English

    Published by Springer, 2020

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 undergraduateand graduate students in colleges and universities.…

  • Language: English

    Published by Springer Nature, 2020

    9811555028 / 9789811555022

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    Hardcover. Condition: Brand New. 144 pages. 9.25x6.10x0.38 inches. In Stock.

  • Language: English

    Published by Springer, 2020

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    Language: English

    Published by Springer, 2020

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    Taschenbuch. Condition: Neu. AI based Robot Safe Learning and Control | Xuefeng Zhou (u. a.) | Taschenbuch | xvii | Englisch | 2020 | Springer | EAN 9789811555053 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Language: English

    Published by Springer Verlag, Singapore, SG, 2020

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    Paperback. Condition: New. 2020 ed. 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 undergraduateand graduate students in colleges and universities.…

  • Language: English

    Published by Springer, 2020

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  • Language: English

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer 2020-09, 2020

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    PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

  • Language: English

    Published by Springer, 2020

    9811555028 / 9789811555022

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  • Language: English

    Published by Springer Nature Singapore Sep 2020, 2020

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch.…

  • Language: English

    Published by Springer, 2020

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    Condition: New. Print on Demand pp. XVII, 127 42 illus., 35 illus. in color.

  • Language: English

    Published by Springer Nature Singapore Jun 2020, 2020

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch.…

  • Language: English

    Published by Springer, 2020

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    Condition: New. PRINT ON DEMAND pp. XVII, 127 42 illus., 35 illus. in color.