Developed a fuzzy logic controller for mobile robot navigation that effectively utilizes LiDAR sensor data for obstacle avoidance. Designed and implemented a two-input, two-output fuzzy logic system, employing fuzzy logic rules and predefined membership functions to dynamically adjust the robot’s velocity and turning angle. Ensured robust performance in both static environments by addressing uncertainties and noise in sensor data, demonstrating advanced problem-solving and control system design skills.
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alimuhammadtariq/Robot-obstacle-avoidance-using-Fuzzy-Logic
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