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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/2/751 |
| _version_ | 1797437310739939328 |
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| author | Seokyoung Kim Heoncheol Lee |
| author_facet | Seokyoung Kim Heoncheol Lee |
| author_sort | Seokyoung Kim |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T11:18:21Z |
| format | Article |
| id | doaj.art-857e62f2725d4ec48800ea122571e3ab |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T11:18:21Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-857e62f2725d4ec48800ea122571e3ab2023-12-01T00:26:56ZengMDPI AGSensors1424-82202023-01-0123275110.3390/s23020751Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic EnvironmentsSeokyoung Kim0Heoncheol Lee1Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of KoreaDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of KoreaThis 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.https://www.mdpi.com/1424-8220/23/2/751Antarctic environmentsant colony optimizationmulti-robot task scheduling |
| spellingShingle | Seokyoung Kim Heoncheol Lee Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments Sensors Antarctic environments ant colony optimization multi-robot task scheduling |
| title | 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_short | Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments |
| title_sort | multi robot task scheduling with ant colony optimization in antarctic environments |
| topic | Antarctic environments ant colony optimization multi-robot task scheduling |
| url | https://www.mdpi.com/1424-8220/23/2/751 |
| work_keys_str_mv | AT seokyoungkim multirobottaskschedulingwithantcolonyoptimizationinantarcticenvironments AT heoncheollee multirobottaskschedulingwithantcolonyoptimizationinantarcticenvironments |