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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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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ftpubmed:oai:pubmedcentral.nih.gov:9866026 2023-05-15T13:44:55+02:00 Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments Kim, Seokyoung Lee, Heoncheol 2023-01-09 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866026/ http://www.ncbi.nlm.nih.gov/pubmed/36679544 https://doi.org/10.3390/s23020751 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866026/ http://www.ncbi.nlm.nih.gov/pubmed/36679544 http://dx.doi.org/10.3390/s23020751 © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). CC-BY Sensors (Basel) Article Text 2023 ftpubmed https://doi.org/10.3390/s23020751 2023-01-29T02:00:52Z 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. Text Antarc* Antarctic PubMed Central (PMC) Antarctic Sensors 23 2 751 |
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Article Kim, Seokyoung Lee, Heoncheol Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
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Article |
description |
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. |
format |
Text |
author |
Kim, Seokyoung Lee, Heoncheol |
author_facet |
Kim, Seokyoung Lee, Heoncheol |
author_sort |
Kim, Seokyoung |
title |
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
title_short |
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
title_full |
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
title_fullStr |
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
title_full_unstemmed |
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
title_sort |
multi-robot task scheduling with ant colony optimization in antarctic environments |
publisher |
MDPI |
publishDate |
2023 |
url |
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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Antarctic |
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Antarctic |
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Antarc* Antarctic |
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Antarc* Antarctic |
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Sensors (Basel) |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866026/ http://www.ncbi.nlm.nih.gov/pubmed/36679544 http://dx.doi.org/10.3390/s23020751 |
op_rights |
© 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
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CC-BY |
op_doi |
https://doi.org/10.3390/s23020751 |
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Sensors |
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23 |
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751 |
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1766208577303740416 |