A study on obstacle avoidance for mobile robot based on fuzzy logic control and adaptive rotation

This paper presents a fuzzy logic control algorithm for the obstacle avoidance of mobile robot in unknown environment. A reasonable and applicable control response table is constructed by using fuzzy inference. Meanwhile, in dealing with the deadlock problem, the algorithm offers an adaptive rotation angle based on the detection distance. Simulation results in different kinds of environments prove the effectiveness and feasibility of the algorithm.