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English(EN) Benchmarking Local Language Models for Social Robots using Edge Devices

LLM集成到多机器人系统中，并为边缘设备进行基准测试

作者 PulseAugur 编辑部 · [3 个来源] ·

一篇综述论文回顾了大型语言模型（LLM）在多机器人系统（MRS）中的集成，将应用从高级任务分配到低级动作生成进行了分类。它强调了数学推理能力限制和幻觉等挑战，同时也概述了微调和推理技术未来的研究机会。另外，另一篇论文对25个开源语言模型在社交机器人边缘设备的部署进行了基准测试，评估了推理效率、通用知识和教学有效性。 AI

影响 探讨了LLM在机器人技术中的集成，以增强协调性和效率，并对社交机器人边缘部署的模型进行了基准测试。

排序理由 该集群包含两篇学术论文，讨论了语言模型在机器人技术中的应用和基准测试。

在 arXiv cs.CL 阅读 →

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LLM集成到多机器人系统中，并为边缘设备进行基准测试

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该集群包含两篇学术论文，讨论了语言模型在机器人技术中的应用和基准测试。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Peihan Li, Zijian An, Shams Abrar, Lifeng Zhou ·

    面向多机器人系统的语言大模型：一项调查

    arXiv:2502.03814v5 Announce Type: replace-cross Abstract: The rapid advancement of Large Language Models (LLMs) has opened new possibilities in Multi-Robot Systems (MRS), enabling enhanced communication, task allocation and planning, and human-robot interaction. Unlike traditiona…

  2. arXiv cs.CL TIER_1 English(EN) · Dorian Lamouille, Matev\v{z} B. Zorec, Farnaz Baksh, Karl Kruusam\"ae ·

    使用边缘设备对本地语言模型进行社交机器人基准测试

    arXiv:2605.03111v1 Announce Type: cross Abstract: Social-educational robots designed for socially interactive pedagogical support, such as the Robot Study Companion (RSC), rely on responsive, privacy-preserving interaction despite severely limited compute. However, there is a gap…

  3. arXiv cs.CL TIER_1 English(EN) · Karl Kruusamäe ·

    使用边缘设备对本地语言模型进行社交机器人基准测试

    Social-educational robots designed for socially interactive pedagogical support, such as the Robot Study Companion (RSC), rely on responsive, privacy-preserving interaction despite severely limited compute. However, there is a gap in systematic benchmarking of language models for…

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