Application of Fuzzy Neural Networks in Information Fusion for Obstacle Avoidance

Abstract

Takagi-Sugeno(T-S) fuzzy neural networks not only has the advantage of fuzzy logic and the neural networks, but also has good learning ability. This paper presents a fusion method for T-S fuzzy neural networks to avoid the obsta cle. Several ultrasonic sensors are used to detect the distance and the direction of the obstacle. The experi ment indicates that the method which is used in avoiding the obstacle of mobile robot is practicable and effective.