융합신호처리학회논문지 (Journal of the Institute of Convergence Signal Processing)

한국융합신호처리학회 (The Korea Institute of Convergence Signal Processing)
권호 표지

지능형 네트워크를 이용한 이동 로봇의 이동장애물 회피 응용

Moving Obstacles Collision Avoidance of a Mobile Robot using an Intelligent Network

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

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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참고문헌

  1. Handbook of Genetic Algorithms L.Davis
  2. IEE Trans.Energy Conversion v.7 no.4 Optimal hydrogenerator governor tuning with a genetic algorithm J.E.Lansberry;L.Wozniak;D.E.Goldberg
  3. IEEE Trans on Robotics&Automat v.13 no.2 Optimal Obstacle Avoidance Based on the Hamilton-Jacobi-Bellman Equation S.Sundar;Z.Shiller
  4. IEEE Trans.on Robtics & Automat v.13 no.4 Adaptive Navigation of Mobile Robots with Obstacle Avoidance A.Fujimori;P.N.Nikiforuk
  5. Emergetnt Neural Networks,Proseeding of the 1995 International Workshop on Biologically Inspired Evolutionary Systems H.Naito;K.Uchida
  6. 퍼지 신경망 유전진화 임영도;이상부
  7. 통신학회 춘계발표집 유전알고리즘과 신경망을 이용한 PID 제어기 조용갑(외4인)
  8. Proc.KACC 소형 이동로봇의 최적경로 설계에 관한 연구 이재동(외3인)
  9. Proc.KACC 신경회로망을 이용한 이동로봇의 이동장애물 충돌회피 박준혁(외1인)