Design of Obstacle Avoidance and Tracking Robot

Abstract

Nowadays, there are still no better solutions to the problems of multi-sensor information fusion and multi-behavior conflicts on intelligent tracking robot, which can not correctly recognize complex obstacles like U shape, furthermore, intelligently select the best obstacle-avoidance path. This design takes AT89S52 as the MCU of the wheel robot. Infrared sensor and ultrasonic transducer are used to collect environmental information around. Priority resolving and fuzzy behavior fusion are integrated to process the multi-sensor information and control the running states of wheel robot. By using the designed method, the robot can properly handle the different behaviors and behavior conflicts in its tracking progress. Also, more accurate sign information can be identified, and more complex obstacles like U shape can be avoided quickly and accurately by following the best path. The application result on the wheel robot verifies the efficiency of proposed method.