社论:教育机器人与竞赛

Felipe N. Martins, José Lima, Andre Schneider de Oliveira, Paulo Costa, Amy Eguchi
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引用次数: 0

摘要

(AMR)。论文介绍了基于扩展卡尔曼滤波器(EKF)和 ArUco 标识的比赛室内定位系统创新方法。作者针对 EKF 中获得的观测数据测试并比较了不同的创新方法,并根据竞赛组织机构提供的官方规范,在使用工厂车间的真实场景中验证了他们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Editorial: Educational robotics and competitions
(AMRs). The paper describes an innovative approach to the indoor localization system for the competition based on the Extended Kalman Filter (EKF) and ArUco markers. The authors tested and compared different innovation methods for the obtained observations in the EKF, validating their approach in a real scenario using a factory floor with the official specifications provided by the competition organization.
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