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From Humanoid Embodiment to Theory of Mind

  • Yasuo Kuniyoshi
  • Yasuaki Yorozu
  • Yoshiyuki Ohmura
  • Koji Terada
  • Takuya Otani
  • Akihiko Nagakubo
  • Tomoyuki Yamamoto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3139)

Abstract

We propose to investigate the foundations of communication and symbolic behavior by means or a robotics approach, i.e. by studying how these behaviors might emerge from the physical dynamics of an agent and its sensory-motor interactions with the real world. In this perspective, the human-robot interface problem can be viewed as one of coupling the interaction dynamics of all agents. Through a number of case studies we will show that within this interaction dynamics there is sparse global structure, i.e. a structure that can be characterized by only a small number of points in phase space, and that it is best to interact with the agent, i.e. interfere with its dynamics, at these points. We introduce a humanoid robot with the capability for dynamic full-body movement. The preliminary results of two experiments, sitting and standing up, are presented. Lastly, experiments with self exploratory learning of embodiment and visual motor learning of neonatal imitation abilities are introduced.

Keywords

Action Recognition Humanoid Robot Intelligent Robot Motion Capture Data Exploratory Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yasuo Kuniyoshi
    • 1
  • Yasuaki Yorozu
    • 1
  • Yoshiyuki Ohmura
    • 1
  • Koji Terada
    • 1
  • Takuya Otani
    • 1
  • Akihiko Nagakubo
    • 2
  • Tomoyuki Yamamoto
    • 3
  1. 1.The University of TokyoBunkyo-ku, TokyoJapan
  2. 2.National Institute for Advanced Industrial Science and Technology 
  3. 3.Japan Advanced Institute of Science and Technology 

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