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English(EN) Complete, Scalable, and Robust Prioritized Planning for Multi-Robot Ordered Storage and Retrieval at Maximum Capacity

新算法优化多机器人仓库运营，兼顾密度和速度

作者 PulseAugur 编辑部 · [2 个来源] ·

一篇新研究论文介绍了一种用于优化自动化仓库中多机器人系统的新型算法，专门解决了在保持高检索吞吐量的同时最大化存储密度这一挑战。所提出的优先级规划方法保证了完整性并防止了死锁，为检索序列中的不确定性提供了可扩展性和鲁棒性。实验表明，随着机器人数量的增加，性能接近线性提高，鲁棒性安排的开销可忽略不计。 AI

影响 通过提高机器人协调和效率来优化物流和仓库自动化。

排序理由 该集群包含一篇详细介绍多机器人系统新型算法的研究论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新算法优化多机器人仓库运营，兼顾密度和速度

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该集群包含一篇详细介绍多机器人系统新型算法的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · William Zhang, Tzvika Geft, Jingjin Yu, Kostas Bekris ·

    面向最大容量的多机器人有序存取的完整、可扩展且鲁棒的优先规划

    arXiv:2608.07734v1 Announce Type: cross Abstract: Automated warehouses face a fundamental trade-off between maximizing storage density and achieving high retrieval throughput. While puzzle-based storage (PBS) architectures increase capacity by eliminating aisles, coordinating mul…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Kostas Bekris ·

    多机器人有序存储与检索的最大容量的完整、可扩展且鲁棒的优先规划

    Automated warehouses face a fundamental trade-off between maximizing storage density and achieving high retrieval throughput. While puzzle-based storage (PBS) architectures increase capacity by eliminating aisles, coordinating multiple robots in these high-density spaces is compu…

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