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Autonomous Mobile Robot System based on a Fuzzy Artificial Immune System

퍼지 인공 면역망 시스템을 이용한 자율이동로봇 시스템

  • Published : 2007.11.30

Abstract

In this paper addresses the low-level behavior of fuzzy control and the high-level behavior selector for Autonomous Mobile Robots(AMRs) based on a Fuzzy Artificial Immune Network. The sensing information that comes from ultrasonic sensors is the antigen it, and stimulates antibodies. There are many possible combinations of actions between action-patterns and external situations. The question is how to handle the situations to decide the proper action. We propose a fuzzy artificial immune network to solve the above problem. and the computer simulation for an AMR action selector shows the usefulness of the proposed action selector.

본 논문은 초음파 센서에 의해 인식된 정보를 항체와 항원으로 모델링 된 퍼지 인공 명역망에 의한 하위 행위기와 상위 행동 선택기로 설계된 자율이동로봇 시스템에 관한 연구이다. 외부 환경과 행동 패턴의 관계는 매우 많은 조합이 가능하다. 이러한 복잡한 관계 속에서 행동의 우선 순위를 어떻게 결정하는가 하는 문제가 가장 중요하다. 이런 복잡한 결정을 위해 본 논문에서는 퍼지 인공 면역망 알고리즘을 제시하고, 컴퓨터 시뮬레이션에 의해 제안된 자율이동로봇의 행위 선택기의 유용성을 보여준다.

Keywords

References

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