Research on robot path planning based on machine vision

Abstract

With the development of artificial intelligence, intelligent robot has gradually become one of the current research hotspots. Among them, path planning is the key technology of intelligent mobile robot. The planning to enable the mobile robot with a safe and effective path efficiently has always been a challenging research field. This paper designs a mobile robot path planning system based on machine vision, establishes the overall framework of the path planning system, and focuses on the global path search algorithm of ant colony algorithm to realize the optimal path in mobile robot space. According to the basic principle of ant colony algorithm, the workspace environment of mobile robot is established, and the relationship curves between the core parameters and ant colony algorithm performance are obtained by software simulation. On this basis and under the condition of the optimal combination of parameters, the efficient path planning based on ant colony algorithm is realized. The path planning algorithm can provide a corresponding solution for the path searching problem of mobile robot.