{
  "id": 1142,
  "url": "https://arxiv.org/abs/2606.12352v1",
  "title": "CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy",
  "summary": "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 ",
  "authors": "Ria Doshi, Tian Gao, Annie Chen, Chelsea Finn, Jeannette Bohg",
  "category": "research",
  "topics": "regulation,safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-10T17:26:08.000Z",
  "fetched_at": "2026-07-14T14:15:03.615Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1142",
  "original_url": "https://arxiv.org/abs/2606.12352v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}