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English(EN) Robust Safety Assurance for Robotic Swarms Using Decentralized Collision Verification

机器人集群避碰在真实户外测试中得到验证

研究人员开发并测试了一种用于机器人集群的去中心化安全验证算法,特别侧重于在真实的户外环境中防止碰撞。该算法经过改编和增强,适用于尺寸、重量和功耗受限的无人机(UAV)。涉及 140 次户外飞行(包括最多 8 架无人机的集群飞行)的大量实验表明,该系统能够实时有效地验证安全性并采取安全措施避免碰撞。每个代理通常需要大约 500-520 毫秒来验证未来 4 秒的安全性,其中广播时间是一个重要因素。 AI

影响 这项研究可能有助于在复杂的真实环境中实现更可靠的自主系统。

排序理由 该项目是一篇详细介绍新算法及其实验验证的研究论文。[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 →

机器人集群避碰在真实户外测试中得到验证

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该项目是一篇详细介绍新算法及其实验验证的研究论文。[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) · Justin M. Bradley ·

    Robust Safety Assurance for Robotic Swarms Using Decentralized Collision Verification

    In this paper we present the methodologies, results, and analysis used to deploy a decentralized safety verification algorithm on a robotic swarm to prevent collisions at runtime in an outdoor environment. Typically, approaches toward verification of swarms of cyber-physical syst…