Path planning for mobile robots in complex environments based on improved ant colony algorithm

Path planning for mobile robots in complex environments based on improved ant colony algorithm

Aiming at the problems of the basic ant colony algorithm in path planning, such as long convergence time, poor global path quality and not being suitable for dynamic environments and unknown environments, this paper proposes a path planning method for mobile robots in complex environments based on a...

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Bibliographic Details
Main Authors: Yuzhuo Shi, Huijie Zhang, Zhisheng Li, Kun Hao, Yonglei Liu, Lu Zhao
Format: Article
Language:English
Published: AIMS Press 2023-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
path planning
ant colony algorithm
unknown environment
path exploration
dynamic obstacle avoidance
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023695?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023695?viewType=HTML

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