Adaptive IAS

A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment it must be capable of sensing thinking and acting. But the current mobile robots do relatively little that is recognizable as intelligent. Therefore the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles and to make one way towards their target. In fact recognition learning decision-making and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques due to the problem complexity.