English(EN) From Real-Time Planning to Reliable Execution:Scalable Coordination for Heterogeneous Multi-Robot Fleets in Industrial Environments

新框架SCALE增强了工业环境中机器人车队的协调能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-01 08:16

一篇新研究论文介绍了一种名为SCALE的反应式在线协调框架，旨在提高工业环境中异构机器人车队的效率。该框架解决了密集、多样化机器人种群的实时路径规划挑战，并缓解了通信延迟和执行不确定性引起的问题。SCALE包含一个用于在线路径生成和冲突解决的运动诱导冲突减少机制，以及一个通用的共轭动作-优先超图（CAPH）来适应性地管理机器人交互。 AI

影响这项研究可能导致在利用自主机器人车队的工业环境中实现更高效、更可靠的运营。

排序理由该集群包含一篇详细介绍机器人协调新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.MA (Multiagent) 阅读 →

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报道来源 [1]

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Hesheng Wang · 2026-07-01 08:16

从实时规划到可靠执行：工业环境中异构多机器人车队的规模化协调

With the increasing deployment of heterogeneous robot fleets in industrial environments, efficient coordination remains a critical challenge. Real-time path planning must simultaneously accommodate high robot densities and heterogeneous motion capabilities, while communication de…

本文如何被排名

报道来源 [1]

从实时规划到可靠执行：工业环境中异构多机器人车队的规模化协调

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