Learning motor skills [electronic resource] : from algorithms to robot experiments / Jens Kober, Jan Peters.

Learning motor skills [electronic resource] : from algorithms to robot experiments / Jens Kober, Jan Peters.

9783319031941 electronic book
3319031945 electronic book
9783319031934

Cham : Springer, 2014.

English

1 online resource (xvi, 191 pages) : illustrations (some color).

10.1007/978-3-319-03194-1 doi

Q325.6

006.3/1

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.

Includes bibliographical references and index.

Access limited to authorized users.

Description based on online resource; title from PDF title page (SpringerLink, viewed November 25, 2013).

Springer tracts in advanced robotics ; 97. 1610-7438

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