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From Motor Learning to Interaction Learning in Robots




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.

Author(s): Sigaud, O. and Peters, J.
Pages: 538
Year: 2010
Month: January
Day: 0

Series: Studies in Computational Intelligence ; 264
Editors: O Sigaud, J Peters
Publisher: Springer

Department(s): Empirical Inference
Bibtex Type: Book (book)

Address: Berlin, Germany
Digital: 0
DOI: 10.1007/978-3-642-05181-4
ISBN: 978-3-642-05180-7
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: Web


  title = {From Motor Learning to Interaction Learning in Robots},
  author = {Sigaud, O. and Peters, J.},
  pages = {538},
  series = {Studies in Computational Intelligence ; 264},
  editors = {O Sigaud, J Peters},
  publisher = {Springer},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Berlin, Germany},
  month = jan,
  year = {2010},
  month_numeric = {1}