Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
In recent years, Automated Mobile Robots (AMRs) have gained significant attention in industry and research applications, requiring efficient path-planning algorithms to optimize task performance. While widely adopted, conventional Ant Colony Optimization (ACO) algorithms suffer from low convergence...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Association for Scientific Computing Electronics and Engineering (ASCEE)
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29237/2/01651290920251141302211.pdf http://eprints.utem.edu.my/id/eprint/29237/ https://pubs2.ascee.org/index.php/IJRCS/article/view/1884/pdf https://doi.org/10.31763/ijrcs.v5i3.1884 |
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