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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning Motor Skills: From Algorithms to Robot Experiments

Learning Motor Skills: From Algorithms to Robot Experiments

Kober, Jens
Peters, Jan

Hardcover

Series: Springer Tracts in Advanced Robotics, Book 97

Technology & EngineeringGeneral Computers

ISBN10: 3319031937
ISBN13: 9783319031934
Publisher: Springer
Published: Dec 9 2013
Pages: 191
Weight: 1.03
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English

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.

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