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Learning Motor Skills: From Algorithms to Robot Experiments (Springer Tracts in Advanced Robotics, 97) - Hardcover
Synopsis
This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor.
skills and presents tasks that need to take into account the dynamic behavior of the robot and its environment, where a kinematic movement plan is not sufficient. The book illustrates a method that learns to generalize parameterized motor plans which is obtained by imitation or reinforcement learning, by adapting a small set of global parameters and appropriate kernel-based reinforcement learning algorithms. The presented applications explore highly dynamic tasks and exhibit a very efficient learning process. All proposed approaches have been extensively validated with benchmarks tasks, in simulation and on real robots. These tasks correspond to sports and games but the presented techniques are also applicable to more mundane household tasks. The book is based on the first author’s doctoral thesis, which won the 2013 EURON Georges Giralt PhD Award.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2013
- ISBN 10 3319031937
- ISBN 13 9783319031934
- BindingHardcover
- LanguageEnglish
- Number of pages207
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Learning Motor Skills: From Algorithms to Robot Experiments (Springer Tracts in Advanced Robotics, 97)
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Learning Motor Skills: From Algorithms to Robot Experiments (Springer Tracts in Advanced Robotics, 97)
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Learning Motor Skills
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Learning Motor Skills
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Learning Motor Skills: From Algorithms to Robot Experiments (Springer Tracts in Advanced Robotics, 97)
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Learning Motor Skills
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Springer International Publishing Dez 2013, 2013
ISBN 10: 3319031937
ISBN 13: 9783319031934
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor.skills and presents tasks that need to take into account the dynamic behavior of the robot and its environment, where a kinematic movement plan is not sufficient. The book illustrates a method that learns to generalize parameterized motor plans which is obtained by imitation or reinforcement learning, by adapting a small set of global parameters and appropriate kernel-based reinforcement learning algorithms. The presented applications explore highly dynamic tasks and exhibit a very efficient learning process. All proposed approaches have been extensively validated with benchmarks tasks, in simulation and on real robots. These tasks correspond to sports and games but the presented techniques are also applicable to more mundane household tasks. The book is based on the first author's doctoral thesis, which won the 2013 EURON Georges Giralt PhD Award. 208 pp. Englisch. Seller Inventory # 9783319031934
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Learning Motor Skills : From Algorithms to Robot Experiments
Published by
Springer International Publishing, 2013
ISBN 10: 3319031937
ISBN 13: 9783319031934
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor.skills and presents tasks that need to take into account the dynamic behavior of the robot and its environment, where a kinematic movement plan is not sufficient. The book illustrates a method that learns to generalize parameterized motor plans which is obtained by imitation or reinforcement learning, by adapting a small set of global parameters and appropriate kernel-based reinforcement learning algorithms. The presented applications explore highly dynamic tasks and exhibit a very efficient learning process. All proposed approaches have been extensively validated with benchmarks tasks, in simulation and on real robots. These tasks correspond to sports and games but the presented techniques are also applicable to more mundane household tasks. The book is based on the first author's doctoral thesis, which won the 2013 EURON Georges Giralt PhD Award. Seller Inventory # 9783319031934
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Learning Motor Skills
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Learning Motor Skills
Published by
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ISBN 10: 3319031937
ISBN 13: 9783319031934
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an overview of reinforcement learning as applied to roboticsProvides novel algorithms and novel applications for learning motor skillsExtensively evaluates the applications of the approaches on benchmark and robot tasks (including . Seller Inventory # 4496651
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Learning Motor Skills: From Algorithms to Robot Experiments
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