Study Findings from Illinois Institute of Technology Provide New Insights into R obotics (Quantifying Mobile Robot Localization Safety for an Ekf-based Slam Esti mator: an Integrity Monitoring Approach)

伊利诺伊理工学院的研究结果为R obotics提供了新的见解（量化基于ekf的Slam estimator的移动机器人定位安全性：完整性监测方法）

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：188-188.

来源：

NETL
NSTL

Study Findings from Illinois Institute of Technology Provide New Insights into R obotics (Quantifying Mobile Robot Localization Safety for an Ekf-based Slam Esti mator: an Integrity Monitoring Approach)

伊利诺伊理工学院的研究结果为R obotics提供了新的见解（量化基于ekf的Slam estimator的移动机器人定位安全性：完整性监测方法）

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的研究成果在一份新的报告中被使用。据新闻报道来自伊利诺伊州芝加哥，由NewsRx记者报道，研究称，“基于SLAM的安全”移动机器人的估计问题是一个具有挑战性的研究问题,特别是对于生命或脱靶临界的问题探索性应用。为了解决这个问题，本文提出了一种利用完整性风险的方法，即广泛应用于航空航天领域的性能指标，用于量化基于SLAM的移动机器人的定位安全性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsoriginating from Chicago, Illinois, by NewsRx correspondents, research stated, “The safety of SLAM-basedestimation for mobile robots is a challenging research problem, particularly for life- or miss ion-criticalexploratory applications. To address this problem, this work propos es a method to utilize integrity risk, awidely used performance metric in aviat ion, to quantify SLAM-based mobile robot’s localization safety.”

Key words

Chicago/Illinois/United States/North and Central America/Emerging Technologies/Machine Learning/Robot/Robotics/I llinois Institute of Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航