一种路径优化方法、设备和存储介质

By acquiring the passage priority order and path conflict cost of the agent's path nodes, the execution order of multiple agents is dynamically adjusted, which solves the waiting problem caused by the timing priority in the multi-robot system and improves the task execution efficiency.

CN121477873BActive Publication Date: 2026-07-17ZHEJIANG HUARAY TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG HUARAY TECH CO LTD
Filing Date
2025-10-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In multi-robot path planning, strictly following the MAPF planning sequence can easily lead to some agents having to wait because agents with higher priority have not passed through, resulting in low task execution efficiency.

Method used

By obtaining the passage priority order of multiple agents at each path node, the path segment to be sent is selected and the passage priority order of the target path node is obtained. The high-priority agent is selected, and the path node is sent to the target agent based on the path conflict cost to optimize its execution path timing.

Benefits of technology

It improves the efficiency of multi-agent path execution, avoids waiting caused by strictly following the priority order, and enhances the system's operating efficiency and coordination.

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Abstract

本申请公开了一种路径优化方法、设备和存储介质,应用于多智能体路径规划,该方法包括:获取多个智能体在各路径节点的通行优先级顺序;从目标智能体的规划路径中选出待下发路径段,并获取目标路径节点的通行优先级顺序;按照目标路径节点的通行优先级顺序,选出优先级高于目标智能体的至少一个智能体作为高优先级智能体,并获取目标智能体与高优先级智能体之间的路径冲突代价;基于路径冲突代价,确定是否违反通行优先级顺序向目标智能体下发目标路径节点,以使目标智能体优先通过目标路径节点。通过上述方式,本申请能够提高路径执行效率。
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