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  <published>2006-07-23Z</published>
  <updated>2011-03-11T08:56:29Z</updated>
  <id>http://cogprints.org/id/eprint/4979</id>
  <category term="confpaper" label="Conference Paper" scheme="http://cogprints.org/data/eprint/type"/>
  <category term="archive" label="Live Archive" scheme="http://eprints.org/ep2/data/2.0/eprint/eprint_status"/>
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  <sword:stateDescription>This item is in the repository with the URL: http://cogprints.org/id/eprint/4979</sword:stateDescription>
  <sword:originalDeposit href="http://cogprints.org/id/eprint/4979">
    <sword:depositedOn>2006-07-23Z</sword:depositedOn>
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  <title type="xhtml">Autonomous learning and reproduction of complex
sequences: a multimodal architecture for
bootstraping imitation games</title>
  <summary type="xhtml">This paper introduces a control architecture
for the learning of complex sequence of gestures
applied to autonomous robots. The architecture
is designed to exploit the robot internal
sensory-motor dynamics generated by
visual, proprioceptive, and predictive informations
in order to provide intuitive behaviors
in the purpose of natural interactions
with humans.</summary>
  <author>
    <name>Pierre Andry</name>
    <email/>
  </author>
  <author>
    <name>Philippe Gaussier</name>
    <email/>
  </author>
  <author>
    <name>Jacqueline Nadel</name>
    <email/>
  </author>
</entry>