CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy
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 methods conditioned on the combined observations of a team scale poorly with team size, and decentralized methods that train one policy per robot often require explicit alignment procedures or information sharing at inference
Record details
Published: 10 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (10 June 2026), “CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy,” evidence record 1142, https://ethics.ai/record/1142 (originally published by arXiv).
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