Immunological approach to dynamic behavior control for autonomous mobile robots

Akio Ishiguro, Yuji Watanabe, Yoshiki Uchikawa

研究成果: Paper査読

34 被引用数 (Scopus)

抄録

Conventional AI (Artificial Intelligence) technology has been criticized on many grounds such as brittleness under dynamically changing environments. To overcome this problem, another approaches called New AI, Emergent Computation, Animat Approach. Behavior-Based AI and so on were proposed and confirmed their usefulness. On the other hand, biological information processing systems have many interesting functions and are expected to provide various feasible ideas to engineering fields, especially robotics. Immune system plays important roles to maintain its own system against dynamically changing environments. Therefore, we believe that immune system would provide a new paradigm suitable for dynamic problem dealing with unknown environments rather than static problem. In this paper, we propose a new approach to behavior-based AI by paying attention to biological immune system. We confirm the feasibility of our proposed method by applying to a behavior control of an autonomous mobile robot in cluttered environment as a practical example.

本文言語English
ページ495-500
ページ数6
出版ステータスPublished - 1995 1 1
外部発表はい
イベントProceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3) - Pittsburgh, PA, USA
継続期間: 1995 8 51995 8 9

Other

OtherProceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3)
CityPittsburgh, PA, USA
Period95/8/595/8/9

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

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