摘要
由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于机器人的最新研究结果已经发表。根据NewsRx记者在中华人民共和国杭州的新闻报道，研究表明，“本文研究了具有测量异常值的移动机器人的移动视界估计(MHE)问题。”本研究的资助者包括中国国家自然科学基金和浙江省自然科学基金。本报记者引用浙江工业大学的一篇研究文章：“为了处理测量异常值，引入测量误差的欧几里得距离来检测和去除异常数据，然后利用维展开方法对异构传感器的数据进行预处理，从而提高了测量精度。”本文提出了一种基于MHE的移动机器人定位方法，该方法用于处理有界噪声情况下具有测量野值的移动机器人的定位问题，并通过求解正则化最小二乘问题得到了基于MHE的估计器。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “This paper investigates the mov ing horizon estimation (MHE) problem of mobile robots with measurement outliers. ” Funders for this research include The National Natural Science Foundation of Chi na; The Zhejiang Provincial Natural Science Foundation of China. Our news journalists obtained a quote from the research from Zhejiang University of Technology: “To deal with measurement outliers, the Euclidean distance of me asurement error is introduced to detect and remove abnormal data. Then, we use d imension expansion methods to preprocess the data of heterogeneous sensors, such as UWB and IMU. An MHE-based method is proposed that deals with the localizatio n of mobile robots with measurement outliers in the presence of bounded noise. A n MHE-based estimator is obtained by solving a regularized least-squares problem .”
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