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- W3048010051 abstract "In recent years, automated guided vehicle (AGV) is becoming increasingly important for logistic center, which usually has tens of thousands of express packages to sort and transport every day. In order to achieve higher transportation and sorting throughput, we need to plan a feasible path for every AGV, so that sorting tasks can be finished with high performance. In this paper, we therefore study a lifelong version of the MAPF problem, called the multi-agent pickup and delivery (MAPD) problem. In the MAPD problem, one agent has to first move to a given pickup location and then to a given delivery location while avoiding collisions with other agents. We present an algorithm named Improved Jump Point Search which contains two stages. Offline phase computes all jump points and online phase plans conflict-free path for every AGV. Furthermore, we propose a strategy called Congestion Control which can guide AGVs in local congestion situations and reduce overlapping between paths. Compared with existing work like Cooperative A* and Jump Point Search, experimental results demonstrate that our algorithm has a higher throughput and fewer waiting steps." @default.
- W3048010051 created "2020-08-13" @default.
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- W3048010051 date "2020-01-01" @default.
- W3048010051 modified "2023-09-30" @default.
- W3048010051 title "Multi-AGVs Pathfinding Based on Improved Jump Point Search in Logistic Center" @default.
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- W3048010051 doi "https://doi.org/10.1007/978-3-030-57602-8_32" @default.
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