Title :
Visual Navigation of a Partner Robot Using Cellular Neural Network
Author :
Hashimoto, Setsuo ; Kojima, Fumio ; Kubota, Naoyuki
Author_Institution :
Kyoto Gakuen Univ., Kyoto
Abstract :
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.
Keywords :
cellular neural nets; feature extraction; humanoid robots; image classification; mobile robots; path planning; pattern clustering; robot vision; self-organising feature maps; cellular neural network; human behavior clustering; image feature extraction; partner robot visual navigation; self-organizing map classification; Cellular neural networks; Charge coupled devices; Charge-coupled image sensors; Educational robots; Feature extraction; Humanoid robots; Humans; Navigation; Robot sensing systems; Robot vision systems; Cellular Neural Network (CNN); Partner Robot; Visual Perception;
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
DOI :
10.1109/WAC.2006.375943
