Human clustering for a partner robot based on computational intelligence

Authors:
Indra Adji Sulistijono;Naoyuki Kubota
Affiliations:
Department of Mechanical Engineering, Tokyo Metropolitan University, Tokyo, Japan;Department of Mechanical Engineering, Tokyo Metropolitan University, Tokyo, Japan
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

This paper proposes computational intelligence for a perceptual system of a partner robot. The robot requires the capability of visual perception to interact with a human. Basically, a robot should perform moving object extraction, clustering, and classification for visual perception used in the interaction with human. In this paper, we propose a total system for human clustering for a partner robot by using long-term memory, k-means, self-organizing map and fuzzy controller is used for the motion output. The experimental results show that the partner robot can perform the human clustering.