Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments

This paper addresses the problem of multi-robot task scheduling in Antarctic environments. There are various algorithms for multi-robot task scheduling, but there is a risk in robot operation when applied in Antarctic environments. This paper proposes a practical multi-robot scheduling method using...

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Bibliographic Details
Published in:Sensors
Main Authors: Seokyoung Kim, Heoncheol Lee
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Online Access:https://doi.org/10.3390/s23020751
https://doaj.org/article/857e62f2725d4ec48800ea122571e3ab
Description
Summary:This paper addresses the problem of multi-robot task scheduling in Antarctic environments. There are various algorithms for multi-robot task scheduling, but there is a risk in robot operation when applied in Antarctic environments. This paper proposes a practical multi-robot scheduling method using ant colony optimization in Antarctic environments. The proposed method was tested in both simulated and real Antarctic environments, and it was analyzed and compared with other existing algorithms. The improved performance of the proposed method was verified by finding more efficiently scheduled multiple paths with lower costs than the other algorithms.