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A Platform System for Developing a Collaborative Mutually Adaptive Agent
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A Platform System for Developing a Collaborative Mutually Adaptive Agent
Yong Xu23 , Yoshimasa Ohmoto23 , Kazuhiro Ueda24 , Takanori Komatsu25 , Takeshi Okadome26 , Koji Kamei26 , Shogo Okada23 , Yasuyuki Sumi23 and Toyoaki Nishida23 
| (23) |
Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan |
| (24) |
Department of System Sciences, the University of Tokyo, |
| (25) |
International Young Researcher Empowement Center, Shinshu University, |
| (26) |
Innovative Communication Laboratory, NTT Communication Science Laboratories, |
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.
Keywords Human Robot - Intelligent Interfaces - Mutual Adaptation
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