Some Methods for Robot Movement Control and Their Comparison

Our problem is to control the movement of a robot. By robot we mean a moving autonomous vehicle which moves within a chosen corridor with a constant speed. It should successfully move through the chosen continuous corridor without obstacles. In this contribution we show some approaches to solving this problem. The first approach is based on classical if rules, the second approach is based on fuzzy if-then rules and extended fuzzy transform [5, 8, 9]. The third approach is based on the neural network and backpropagation algorithm [1, 6]. All of these methods are able to control the robot and its movement successfully.