English(EN) Goal-Branching LaCAM: Temporary Goals as Search Branches in Dense Multi-Agent Pathfinding

新的目标分支LaCAM求解器改进了多智能体路径查找

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 05:00

研究人员推出了目标分支LaCAM，这是对LaCAM多智能体路径查找求解器的一项改进。这种新方法通过为阻塞的智能体分配临时目标来解决密集、走廊密布环境中的挑战，这些临时目标随后被探索为额外的搜索分支。该方法在保持完备性的同时，显著提高了在密集实例上找到解决方案的成功率和速度，而解决方案成本仅略有增加。 AI

影响提高了复杂路径查找问题的效率，可能对机器人和物流产生影响。

排序理由详细介绍多智能体路径查找新算法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Stephen Chang, Daniel Harabor · 2026-11-06 05:00

Goal-Branching LaCAM：临时目标作为密集多智能体路径查找中的搜索分支

arXiv:2611.07528v1 Announce Type: new Abstract: LaCAM is a search-based solver for multi-agent pathfinding (MAPF) that runs a depth-first search over joint configurations, using PIBT to generate successors and lazily adding single-agent constraints to explore alternatives. Althou…

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Goal-Branching LaCAM：临时目标作为密集多智能体路径查找中的搜索分支

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