Research on the mobile robots intelligent path planning based on ant colony algorithm application in manufacturing logistics

TL;DR

This paper explores the application of the ant colony algorithm for mobile robot path planning in manufacturing logistics, analyzing its advantages and disadvantages compared to traditional methods.

Contribution

It introduces a novel application of the ant colony algorithm to improve mobile robot path planning in manufacturing logistics environments.

Findings

Ant colony algorithm effectively improves path planning efficiency.

Traditional methods have limitations that the ant colony algorithm can address.

The paper proposes specific solving methods for implementation.

Abstract

With the development of robotics and artificial intelligence field unceasingly thorough, path planning as an important field of robot calculation has been widespread concern. This paper analyzes the current development of robot and path planning algorithm and focuses on the advantages and disadvantages of the traditional intelligent path planning as well as the path planning. The problem of mobile robot path planning is studied by using ant colony algorithm, and it also provides some solving methods.