Dynamic behavior arbitration of autonomous mobile robots using immune networks

Akio Ishiguro, Toshiyuki Kondo, Yuji Watanabe, Yoshiki Uchikawa

研究成果: Paper査読

26 被引用数 (Scopus)

抄録

Conventional artificial intelligence systems have been criticized for their brittleness under dynamic changing environments. Therefore, in recent years much attention has been focused on reactive planning systems(e.g. behavior-based AI, emergent computation, and so on). In this paper, we propose a new inference/consensus-making system inspired from immune system in living organisms. And we apply our proposed method to behavior arbitration of an autonomous mobile robot as a practical example. We furthermore try to evolve affinities among antibodies using genetic operators. To confirm the validity of our method, we carry out some simulations.

本文言語English
ページ722-727
ページ数6
出版ステータスPublished - 1995 12月 1
外部発表はい
イベントProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust
継続期間: 1995 11月 291995 12月 1

Other

OtherProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)
CityPerth, Aust
Period95/11/2995/12/1

ASJC Scopus subject areas

  • 工学(全般)

フィンガープリント

「Dynamic behavior arbitration of autonomous mobile robots using immune networks」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル