BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence, 264)

From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence, 264)

From Motor Learning to Interaction Learning in Robots (Studies in Computational
Stock photo: cover may vary

From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence, 264) Hardback - 2010 - 2010th Edition

by Sigaud, Olivier

Add to wish list
  • Used
  • Hardback
Used: Good

Description

Springer, 2010-02-04. 2010. hardcover. Used: Good. 6.50x1.25x9.25. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$392.87
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

  • Title From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence, 264)
  • Author Sigaud, Olivier
  • Binding Hardback
  • Edition number 2010th
  • Edition 2010
  • Condition Used: Good
  • Pages 538
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2010-02-04
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # SONG3642051804
  • ISBN 9783642051807 / 3642051804
  • Weight 2 lbs (0.91 kg)
  • Dimensions 9.1 x 6.1 x 1.3 in (23.11 x 15.49 x 3.30 cm)
  • Size 6.50x1.25x9.25
  • Category Computers - General Information
  • Dewey Decimal Code 629.892
  • Quantity available 1

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence, 264)

From the rear cover

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop "From motor to interaction learning in robots" held at the IEEE/RSJ International Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.

tracking-