Acquisition of Human-Robot Interaction Rules via Imitation and Response Observation

  • Authors:
  • Takatsugu Kuriyama;Yasuo Kuniyoshi

  • Affiliations:
  • Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan 113-8656 and JST ERATO Asada Synergistic Intelligence Project,;Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan 113-8656 and JST ERATO Asada Synergistic Intelligence Project,

  • Venue:
  • SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
  • Year:
  • 2008

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Abstract

We aim to realize human-robot social game interaction as a kind of communication. We proposed a hypothetical development of social game interaction between an infant and a care-giver from a mechanism-sided standpoint, based on developmental psychology. Social games have rules, specific relationship between action and response. Applying the hypothesis, we also propose a scheme to design a robot in which a partner can teach interaction rules through interaction. To investigate the proposed scheme, we built a dynamic model which realizes imitation and ruled interaction and switches them observing partner's response. In the experiment, the partner can teach and the robot can acquire a rule adaptively through interaction without explicit teaching and subsequently it is also achieved about another rule without reset.