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English(EN) Radio-to-Pose Information for Gauge-Drift Correction in Cooperative Localization

新的无线电到姿态方法校正机器人定位漂移

研究人员开发了一种名为无线电到姿态信息(RPI)的新颖方法,用于校正机器人团队协同定位中的仪表漂移。该技术利用无线电衰减图来优化机器人姿态,显著减少位置误差。在模拟中,RPI 匹配了联合估计结果,在实际试验中,它将 50x50 米竞技场内的常见位置 RMSE 从 0.542 米降低到 0.140 米。 AI

影响 通过校正定位漂移,提高了多机器人系统的准确性。

排序理由 该项目是一篇学术论文,详细介绍了一种新的机器人定位方法。[lever_c_demoted from research: ic=1 ai=0.7]

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 →

新的无线电到姿态方法校正机器人定位漂移

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该项目是一篇学术论文,详细介绍了一种新的机器人定位方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Nora Ayanian ·

    用于合作定位中量程漂移校正的无线电到姿态信息

    Cooperative localization uses odometry and inter-robot measurements to estimate the motion of a robot team. These measurements describe only relative geometry, but the team's estimated position and orientation can drift together over time, i.e., gauge drift. In this work, we stud…