Mobile Robot Path Planning Based on Artificial Potential Field Method

Abstract

Various combination optimization algorithms have been designed to solve the problem of robot path planning, but every algorithm has some limitation. The artificial potential field method has superiorities in positive feedback, flexibility and collaboration, which convert it into adapt to the trend of path planning algorithms in the intelligent and bionic direction. Artificial potential field method is advanced in the environment of static grid in this paper. Then the feasibility and practicability of the algorithm are backed by a simulation experiment.