An immunity algorithm for path planning of the autonomous mobile robot

Abstract

This paper analyzes the moving characteristic of the car-like autonomous mobile robot. An immunity algorithm adapting capabilities of the immune system is proposed and applied to present the path planning and optimizing approaches for the autonomous mobile robot. The simulation results validate several significant characteristics of the immunity algorithm: adoptability, learning, flexibility, and intelligence.