Editors:
- Presents recent research in motor learning and interaction learning in robots
Part of the book series: Studies in Computational Intelligence (SCI, volume 264)
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Table of contents (21 chapters)
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Front Matter
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From Motor Learning to Interaction Learning in Robots
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Part I: Biologically Inspired Models for Motor Learning
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Front Matter
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Part II: Learning Policies for Motor Control
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Front Matter
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Part III: Imitation and Interaction Learning
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Front Matter
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About this book
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.
Editors and Affiliations
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Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222), Université Pierre et Marie Curie Pyramide, PARIS cedex 05, France
Olivier Sigaud
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Dept. Schölkopf, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
Jan Peters
Bibliographic Information
Book Title: From Motor Learning to Interaction Learning in Robots
Editors: Olivier Sigaud, Jan Peters
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-05181-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-05180-7Published: 04 February 2010
Softcover ISBN: 978-3-642-26232-6Published: 04 May 2012
eBook ISBN: 978-3-642-05181-4Published: 30 December 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 538
Topics: Computational Intelligence, Robotics and Automation, Artificial Intelligence
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