New approach of neural network for robot path planning

Abstract

A novel model of organized neural network is shown to be very effective for path planning and obstacle avoidance in an unknown map which is represented by topologically ordered neurons. With the limited information of neighbor position and distance of the target position, the robot autonomously provides a proper path with free-collision and no redundant exploring in the process of exploring. Finally, the computer simulation illustrates the performance.