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English(EN) CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy

CHORUS框架通过单一VLA策略实现机器人去中心化协作

研究人员开发了CHORUS,一个新框架,它能够使用单一的视觉-语言-动作(VLA)模型实现多个机器人之间的去中心化协作。这种方法允许每个机器人独立运行,仅依赖于自身的观察和一个识别机器人的提示,无需机器人之间进行显式对齐或实时通信。实验表明,CHORUS在移动卷尺测量和提起洗衣篮等任务上,显著优于现有的去中心化模型,甚至超越了中心化基线。 AI

影响 通过消除通信开销,实现了更具可扩展性和效率的多机器人系统。

排序理由 该集群包含一篇详细介绍多机器人协作新框架的研究论文。

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 →

CHORUS框架通过单一VLA策略实现机器人去中心化协作

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Ria Doshi, Tian Gao, Annie Chen, Chelsea Finn, Jeannette Bohg ·

    CHORUS:一种VLA策略的多中心多实体协作

    arXiv:2606.12352v1 Announce Type: cross Abstract: Multi-robot collaboration allows robots to efficiently take on a wide range of tasks, from moving a couch through a doorway to assembling structures on a construction site. However, achieving such coordination in mobile multi-robo…

  2. arXiv cs.AI TIER_1 English(EN) · Jeannette Bohg ·

    CHORUS:一种VLA策略的多中心多实体协作

    Multi-robot collaboration allows robots to efficiently take on a wide range of tasks, from moving a couch through a doorway to assembling structures on a construction site. However, achieving such coordination in mobile multi-robot settings remains challenging: centralized method…