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English(EN) SCALE: Real-Time Latent Communication for Cyber-Physical Agents

新的SCALE方法实现了赛博物理代理的实时潜在通信

研究人员开发了SCALE,一种专为赛博物理代理设计的实时潜在通信新方法。与之前专注于LLMs的方法不同,SCALE解决了物理系统固有的带宽和截止日期限制。它通过匹配消息间的token来识别可重用信息,并采用一种调度器,根据语义增益、通信成本、可用带宽和任务截止日期来优化消息传输。在赛博物理基准测试和蜘蛛机器人案例研究中的评估表明,SCALE在带宽受限条件下提高了任务性能和按时交付率。 AI

影响 这项研究可以改善在网络约束下运行的机器人和其他赛博物理系统的协作和效率。

排序理由 该集群包含一篇详细介绍赛博物理代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的SCALE方法实现了赛博物理代理的实时潜在通信

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该集群包含一篇详细介绍赛博物理代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Ning Zhang ·

    SCALE:网络物理代理的实时潜在通信

    Latent communication enables agents to collaborate efficiently by directly exchanging intermediate model representations rather than raw sensor data or text messages. Existing approaches, however, are primarily designed for LLM agents and do not consider the bandwidth constraints…