Mobile robot path planning based on hybrid ant colony optimization

Author:

Zhang Zhaojun1,Lu Jiawei1,Xu Zhaoxiong1,Xu Tao1

Affiliation:

1. School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, Jiangsu, China

Abstract

To solve the problems of the ant colony optimization (ACO), such as slow convergence speed, easy to fall into local extremum and deadlock in path planning, this paper proposed an improved ACO, which was hybridized by PSO based on logistic chaotic mapping, called hybrid ant colony optimization (HACO). According to the number of obstacles around the next feasible node, HACO distributes the initial pheromones unevenly to avoid the ant getting stuck in deadlock. According to the orientation of the next node selected by the ant, the heuristic information is adaptively adjusted to guide the ant to the direction of the target position. When updating the pheromone, the local and global search mechanism of the particle swarm optimization is used to improve the pheromone update rule and accelerate convergence speed. Finally, the grid method is used to construct the environment map, and simulation experiments are conducted in different environments. The experimental results verify the effectiveness and feasibility of the improved algorithm.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference40 articles.

1. A comprehensive study of mobile robot: history, developments, applications, and future research perspectives;Raj;Applied Sciences,2022

2. A review: On path planning strategies for navigation of mobile robot;Patle;Defence Technology,2019

3. Survey on application of ant colony algorithm in path planning of mobile robot;Zhang;Computer Engineering and Applications,2020

4. Path planning for smart car based on Dijkstra algorithm and dynamic window approach;Liu;Wireless Communications and Mobile Computing,2021

5. A path planning method of 6-DOF robot for mirror therapy based on A* algorithm;Xu;Technology and Health Care,2022

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