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: Kim, Seokyoung, Lee, Heoncheol
Format: Text
Language:English
Published: MDPI 2023
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866026/
http://www.ncbi.nlm.nih.gov/pubmed/36679544
https://doi.org/10.3390/s23020751
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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.