개선된 Micro-GA와 Neuro-Fuzzy를 이용한 자율 이동 로봇의 최적 경로 계획

Recently, the necessity about the autonomous mobile robot becomes higher in order to accommodate the wide active range and actively cope with the change of the work environment. This paper, when the robot move to the destination, the algorithm which solves the collision-avoidance problem about fixed and dynamic obstacle and in which it follows the optimal path on a real time basis is proposed and an usability is verified through a simulation.