Simultaneous design of morphology of body, neural systems and adaptability to environment of multi-link-type locomotive robots using genetic programming

Ken Endo, Takashi Maeno

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

In this paper, morphology of body and neural systems that define the locomotion of multi-linked locomotive robots that can adapt the changes in environment are designed using the evolutionary computation. The morphology of the body and neural systems have a close relationship to each other. The model of the robot is designed so that the morphology of the body and neural systems emerge simultaneously. The morphology of the body and neural systems are generated using a Genetic Programming. The tasks are that the robots move on grounds including different height of hills from generation to generation in the two dimensional lateral simulated world under the effect of the gravity. The robots are evaluated based both on a moving distance and an efficiency. As a result, various combinations between the morphology of the body and neural systems of the robots were emerged. The evolved robots were able to go over the hills which has not been experienced.

本文言語English
ページ2282-2287
ページ数6
出版ステータスPublished - 2001 12月 1
イベント2001 IEEE/RSJ International Conference on Intelligent Robots and Systems - Maui, HI, United States
継続期間: 2001 10月 292001 11月 3

Other

Other2001 IEEE/RSJ International Conference on Intelligent Robots and Systems
国/地域United States
CityMaui, HI
Period01/10/2901/11/3

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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