Research and Implementation of Robot Path Planning Based on Ant Colony Algorithm

摘要

Abstract Intelligent mobile objects (mobile robots) are gradually integrated into People’s Daily life, and path planning is the core of this kind of robots. In this article, ant colony algorithm is adopted to plan a global path through all points in the global space based on pheromone changes, so as to solve the practical problem that a robot needs to walk n points at a time and cannot repeat, and its distance is the shortest. Finally, the shortest path is solved based on MATLAB simulation platform.