CLE: An Integrated Framework of CNN, LSTM, and Enhanced A3C for Addressing Multi-Agent Pathfinding Challenges in Warehousing Systems
In the realms of production logistics and intelligent warehousing systems, Multi-Agent Path Finding (MAPF) is paramount, particularly in crafting optimal robot navigation paths while mitigating spatiotemporal conflicts. This paper delves into MAPF within a three-dimensional warehousing context, aimi...
| Published in: | IEEE Access |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10559983/ |
