Energy-aware multi-robot exploration and coverage in fragmented unknown environments using collaborative reinforcement learning
Navigating disaster-stricken environments presents significant challenges for autonomous multi-robot exploration, primarily due to extreme topological fragmentation characterized by an abundance of obstacles, narrow passages and numerous dead ends. Traditional multi-robot exploration strategies base...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Elsevier
2026-03-01
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| Schriftenreihe: | Results in Engineering |
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| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S2590123026002148 |
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