Paper proposes digital-twin coordination for heterogeneous LLM embodied agents over computing power networks
A new arXiv paper introduces a communication-efficient digital-twin coordination framework for teams of heterogeneous LLM-powered embodied agents operating under limited network resources. The approach addresses the overhead of multi-round natural-language inter-agent dialogue by leveraging digital twins to reduce communication rounds. The work targets applications in smart factories, warehouses, and service robotics.
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