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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Published in:Sensors
Main Authors: Kim, Seokyoung, Lee, Heoncheol
Format: Text
Language:English
Published: MDPI 2023
Subjects:
Article
Antarctic
Antarc*
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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spelling 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
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Kim, Seokyoung
Lee, Heoncheol
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments
topic_facet 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
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source 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/).
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/s23020751
container_title Sensors
container_volume 23
container_issue 2
container_start_page 751
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