Springer Tracts in Advanced Robotics

Learning Motor Skills

From Algorithms to Robot Experiments

Authors: Kober, Jens, Peters, Jan

  • Presents an overview of reinforcement learning as applied to robotics
  • Provides novel algorithms and novel applications for learning motor skills
  • Extensively evaluates the applications of the approaches on benchmark and robot tasks (including ball-in-a-cup, darts, table-tennis, throwing and ball-bouncing) with simulated and real robots
see more benefits

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-03194-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-03193-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-3-319-37732-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

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.

Table of contents (7 chapters)

  • Introduction

    Kober, Jens (et al.)

    Pages 1-7

  • Reinforcement Learning in Robotics: A Survey

    Kober, Jens (et al.)

    Pages 9-67

  • Movement Templates for Learning of Hitting and Batting

    Kober, Jens (et al.)

    Pages 69-82

  • Policy Search for Motor Primitives in Robotics

    Kober, Jens (et al.)

    Pages 83-117

  • Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations

    Kober, Jens (et al.)

    Pages 119-147

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-03194-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-03193-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-3-319-37732-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Learning Motor Skills
Book Subtitle
From Algorithms to Robot Experiments
Authors
Series Title
Springer Tracts in Advanced Robotics
Series Volume
97
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-03194-1
DOI
10.1007/978-3-319-03194-1
Hardcover ISBN
978-3-319-03193-4
Softcover ISBN
978-3-319-37732-2
Series ISSN
1610-7438
Edition Number
1
Number of Pages
XVI, 191
Number of Illustrations and Tables
2 b/w illustrations, 54 illustrations in colour
Topics