셀룰라 신경회로망을 이용한 로봇축구 전략 및 제어

Robot soccer strategy and control using Cellular Neural Network

  • 신윤철 (중앙대학교 전자전기공학부) ;
  • 강훈 (중앙대학교 전자전기공학부)
  • 발행 : 2000.10.01

초록

Each robot plays a role of its own behavior in dynamic robot-soccer environment. One of the most necessary conditions to win a game is control of robot movement. In this paper we suggest a win strategy using Cellular Neural Network to set optimal path and cooperative behavior, which divides a soccer ground into grid-cell based ground and has robots move a next grid-cell along the optimal path to approach the moving target.

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