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  From Motor Learning to Interaction Learning in Robots

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

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C162-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-9540-D
Genre: Book

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-05181-4.pdf (Publisher version)
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 Creators:
Sigaud, O, Editor
Peters, J1, 2, Editor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 2010-01
 Publication Status: Issued
 Pages: 538
 Publishing info: Berlin, Germany : Springer
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 978-3-642-05180-7
DOI: 10.1007/978-3-642-05181-4
BibTex Citekey: 6236
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Title: Studies in Computational Intelligence
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: 264 Sequence Number: - Start / End Page: - Identifier: -