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Visual Navigation of a Partner Robot Using Cellular Neural Network

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3 Author(s)
Hashimoto, S. ; Kyoto Gakuen Univ., Kyoto ; Kojima, F. ; Kubota, N.

This paper discusses the visual navigation of a partner robot. In this paper, we apply a cellular neural network to extract various features from the sequential images. Furthermore, extracted features are classified by self-organizing map. Experimental results will show that proposed method can extract effective features for the clustering of the human behavior.

Published in:

Automation Congress, 2006. WAC '06. World

Date of Conference:

24-26 July 2006