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Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks

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Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks
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Computer Science > Artificial Intelligence arXiv:2607.09330 (cs) [Submitted on 10 Jul 2026] Title:Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks Authors:Nuocheng Yang, Sihua Wang, Zihan Chen, Tony Q. Quek, Changchuan Yin View a PDF of the paper titled Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks, by Nuocheng Yang and Sihua Wang and Zihan Chen and Tony Q. Quek and Changchuan Yin View PDF HTML (experimental) Abstract:Embodied agent teams powered by heterogeneous large language models (LLMs) are being widely deployed in physical artificial intelligence such as smart factories, warehouses, and service robotics.

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Computer Science > Artificial Intelligence arXiv:2607.09330 (cs) [Submitted on 10 Jul 2026] Title:Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks Authors:Nuocheng Yang, Sihua Wang, Zihan Chen, Tony Q. S. Quek, Changchuan Yin View a PDF of the paper titled Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks, by Nuocheng Yang and Sihua Wang and Zihan Chen and Tony Q. S. Quek and Changchuan Yin View PDF HTML (experimental) Abstract:Embodied agent teams powered by heterogeneous large language models (LLMs) are being widely deployed in physical artificial intelligence such as smart factories, warehouses, and service robotics.

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