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Paper · arXiv

Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue

Effective collaboration between embodied agents requires more than acting in a shared environment; it demands communication grounded in each agent's evolving understanding of the world. When agents can only partially observe their surroundings, coordination without communication is provably hard, but communication can, in principle, bridge this gap by allowing agents to share observations and align their world models. In this work, we examine whether LLM-based embodied agents actually realize the ability to communicate. We extend PARTNR, a benchmark for collaborative household robotics, with a natural-language dialogue channel that enables two agents with partial observability to communic...

AuthorsVardhan Dongre, Dilek Hakkani-Tür
Primary categorycs.MA
Published13 May 2026
Last updated at source10 July 2026
cs.MAcs.AIcs.CL
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