Collision Avolidance for Mobile Robot using Genetic Algorithm

유전 알고리즘을 이용한 이동로봇의 장애물 회피

  • 곽한택 (홍익대학교 전기제어공학과) ;
  • 이기성 (홍익대학교 전기제어공학과)
  • Published : 1996.10.01

Abstract

Collision avoidance is a method to direct a mobile robot without collision when traversing the environment. This kind of navigation is to reach a destination without getting lost. In this paper, we use a genetic algorithm for the path planning and collision avoidance. Genetic algorithm searches for path in the entire, continuous free space and unifies global path planning and local path planning. It is a efficient and effective method when compared with traditional collision avoidance algorithm.

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