Obstacle Avoidance using a Fuzzy Logic Approach OBSTACLE AVOIDANCE USING A FUZZY LOGIC APPROACH

Abstract: Autonomous mobile robot navigation is an area undergoing constant development, especially in mili-tary applications and also domestic requirements. This paper describes an undergraduate solution to providing an autonomous obstacle avoidance system for a mobile robot in an unmapped and changing urban environment. This process behind implementing obstacle avoidance uses a fuzzy logic approach and is conducted using the Rug-warrior Pro, an autonomous mobile robot platform modified to include three sets of ultrasonic sensors. The resultant program offers an excellent alternative to more common vector based navigation methods with a frac-tion of the processing requirements resulting a fast responding reliable application