Visual Navigation of a Partner Robot Using Cellular Neural Network

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.