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

新的SCALE框架增强了异构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

一个名为SCALE的新框架已被开发出来，用于解决工业环境中异构机器人车队的协调挑战。该框架通过引入一种用于在线路径生成和冲突解决的运动诱导冲突减少机制，将实时规划与鲁棒执行相结合。为了处理干扰和偏离规划路径的情况，SCALE采用了一种广义的共轭动作-优先超图（CAPH），该超图能够自适应地调整机器人优先关系。SCALE的有效性已通过广泛的实验和一个为期三天的仓库部署得到证明。 AI

影响该框架通过实现对不同机器人车队的更好协调，有可能提高工业自动化中的效率和可靠性。

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

在 arXiv cs.MA (Multiagent) 阅读 →

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Bo Cao · 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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