OBSTACLE-AVOIDANCE CONTROL OF THE TWO-WHEELED CART BASED ON EVOLVING NEURAL NETWORK

This paper proposes a method for obstacle-avoidance control of a 2-wheeled cart based on neural network, and this method realizes the obstacle avoidance in unknown environment by evolution learning. Meanwhile, this control structure has the ability of data fusion and its sensors have the ability of fault tolerance.