Robot Path Planning Based on Improved Ant Colony Optimization

Abstract

Aiming at the problem of global path planning of robots under static and complicated environment, firstly, the working environment of the robot is modeled by the grid method, and then the ant colony optimization is introduced. After analyzing the basic principle of the algorithm, this paper proposes a robot path planning scheme. Finally, the simulation experiment and analysis verify the validity and practicability of the improved algorithm.