Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Moving Obstacles Collision Avoidance of a Mobile Robot using an Intelligent Network

지능형 네트워크를 이용한 이동 로봇의 이동장애물 회피 응용

  • 박윤명 (창신대학 전자정보과) ;
  • 하달영 (동아대학교 전기·전자·컴퓨터 공학부) ;
  • 최부귀 (동아대학교 전기·전자·컴퓨터 공학부)
  • Published : 2002.04.01
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Abstract

This paper proposes a new construction method of neural networks. The construction method consists of two fundmental ideas, which are a parallel selection-style evaluation and rules evolution. A new collision avoidance algorithm using genetic and neural network is proposed to avoid moving obstacles such as mobile robots. The input parameters of this algorithm is position of moving obstacles and target. Output is a regenerated direction of mobile robot. This algorithm is very simple and so, it is available to application of real time process. The pattern of collision avoidance is learned through test execution.

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References

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