English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  From Motor Learning to Interaction Learning in Robots

Sigaud, O., & Peters, J. (2010). From Motor Learning to Interaction Learning in Robots (O. Sigaud, & J. Peters, Eds.).

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C162-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C163-1
Genre: Book

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Sigaud, O, Author
Peters, J1, 2, Author           
Sigaud, O, Editor
Peters, J, Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

Content

show
hide
Free keywords: -
 Abstract: 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.

Details

show
hide
Language(s):
 Dates: 2010-01
 Publication Status: Issued
 Pages: 538
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 978-3-642-05180-7
URI: http://springerlink.com/content/g01608755452/?p=302e4e69dacf4717b7160064fa8ae31eamp;amp;amp;pi=3
DOI: 10.1007/978-3-642-05181-4
BibTex Citekey: 6236
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Studies in Computational Intelligence ; 264
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -