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Visual Perception for a Partner Robot Based on Computational Intelligent

Sulistijono, Indra Adji and Kubota, Naoyuki (2005) Visual Perception for a Partner Robot Based on Computational Intelligent. Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 9 (6). pp. 654-660. ISSN 1343-0130

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    Abstract

    We propose computational intelligence for partner robot perception in which the robot requires the capability of visual perception to interact with human beings. Basically, robots should conduct moving object extraction, clustering, and classification for visual perception used in interactions with human beings. We propose total human visual tracking by long-term memory, k-means, self-organizing map, and a fuzzy controller is used for movement output. Experimental results show that the partner robot can conduct the human visual tracking.

    Item Type: Article
    Uncontrolled Keywords: partner robot, computational intelligence, visual perception, k-means, self-organizing map
    Subjects: T Technology > TJ Mechanical engineering and machinery
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Dr.Eng. Indra Adji Sulistijono
    Date Deposited: 21 Mar 2012 09:06
    Last Modified: 21 Mar 2012 09:06
    URI: http://repo.pens.ac.id/id/eprint/1665

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