From Motor Learning to Interaction Learning in Robots

Sigaud, O; Peters, J

doi:10.1007/978-3-642-05181-4

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From Motor Learning to Interaction Learning in Robots

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Peters, J
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-05181-4.pdf
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Citation

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

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C162-3

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.