A Platform System for Developing a Collaborative Mutually Adaptive Agent

  • Authors:
  • Yong Xu;Yoshimasa Ohmoto;Kazuhiro Ueda;Takanori Komatsu;Takeshi Okadome;Koji Kamei;Shogo Okada;Yasuyuki Sumi;Toyoaki Nishida

  • Affiliations:
  • Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501;Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501;Department of System Sciences, the University of Tokyo,;International Young Researcher Empowement Center, Shinshu University,;Innovative Communication Laboratory, NTT Communication Science Laboratories,;Innovative Communication Laboratory, NTT Communication Science Laboratories,;Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501;Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501;Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501

  • Venue:
  • IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
  • Year:
  • 2009

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Abstract

The characteristic task of service robots that can interact with humans is to achieve human-robot collaboration. Mutual adaptation is considered to be an important characteristic of robots, required for carrying out such collaborative tasks. Here, we introduce the concept of mutual adaptation, propose a learning model, and describe an experimental task to explain the above concept. A waiter robot performs a collaborative task using a platform system, which is developed by a constructive approach. The interactive and manual modes of this system are compared by performing a preliminary experiment to evaluate the effectiveness of the robot's autonomous function. The results indicate that the robot's autonomous function works well when operated in the interactive mode under short time or slow speed conditions.