Obstacle Avoidance in Comparation Using Fuzzy Logic and Neural Network
نویسندگان
چکیده
This paper proposes a Fuzzy Logic and Neural Network control system that is able to guide the Mobile robots (AmigoBot and P3DX) traverse through a maze with arbitrary obstacles and computed data and algorithm in Personal Computer (PC) in wireless system. For input data, controller (Fuzzy Logic and Neural Network) receives data from sensors (sonar and laser range finder). This paper checked the efficiency of controller (Fuzzy Logic or Neural Network) through various experiments. The empirical results show the effectiveness and the validity of the obstacle avoidance behavior of the proposed Neural Network control strategy by using laser range finder as the main sensor.
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