Robotics & Machine Learning Daily News2024,Issue(Nov.28) :194-194.

New Findings on Robotics Described by Investigators at University of Wisconsin M adison (Fast Decentralized State Estimation for Legged Robot Locomotion Via Ekf and Mhe)

大学研究人员描述的机器人学新发现Wisconsin M adison(快速分散状态估计基于Ekf和Mhe的腿机器人运动

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :194-194.

New Findings on Robotics Described by Investigators at University of Wisconsin M adison (Fast Decentralized State Estimation for Legged Robot Locomotion Via Ekf and Mhe)

大学研究人员描述的机器人学新发现Wisconsin M adison(快速分散状态估计基于Ekf和Mhe的腿机器人运动

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-机器人的最新研究结果已经公布。根据新闻报道来自威斯康辛州麦迪逊市的NewsR X编辑,研究表明:“在这封信中,我们提出了一个快速而有效的腿运动控制的分散状态估计框架。非线性估计利用扩展卡尔曼滤波器(EKF)将浮基状态分散到方位估计以及通过移动G水平估计(MHE)进行的线性速度估计。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingout of Madison, Wisconsin, by NewsR x editors, research stated, “In this letter, we present a fast anddecentralized state estimation framework for the control of legged locomotion. The nonlinear estimationof the floating base states is decentralized to an orientation estima tion via Extended Kalman Filter (EKF)and a linear velocity estimation via Movin g Horizon Estimation (MHE).”

Key words

Madison/Wisconsin/United States/North and Central America/Emerging Technologies/Machine Learning/Robot/Robotics/University of Wisconsin Madison

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文