To the problem of obstacle avoidance for mobile robot

with the platform of AS-R mobile robot

a novel approach of multi-sensor information fusion based on neural networks and fuzzy neural networks is presented.A BP neural network is used to fuse information from multi ultrasonic sensors so that the uncertainty of the sensors’ information can be decreased and high accuracy of obstacle identification can be obtained.In order to realize decision control

a fuzzy neural network is used for obstacle avoidence.With the two-level information fusion method high performance of robust and flexible for obstacle avoidance can be achieved.Experiment results verified the effectiveness of the proposed approach.