Motion guidance of mobile robot using laser range finder

The self-positioning and obstacle avoidance for a mobile robot is always an important topic for robotics research. Earlier studies on this topic use cameras, ultrasonic sensors, infrared sensors or GPS with a variety of algorithm for positioning and obstacle avoidance. However, complex computations on the algorithm, insufficient accuracy of the sensors, or influence of the environment are non-avoidable factors in the earlier methods. In this paper, we use laser range finder, which can measure the distance in a very short time, to position the mobile robot and to guide the mobile robot for obstacle avoidance. Also, we use fuzzy mathematics to eliminate the errors and misjudgment due to reflection on different objects.