Robotics & Machine Learning Daily News2024,Issue(Nov.14) :27-28.

Studies from Zhejiang University of Technology Have Provided New Information abo ut Robotics and Automation (A Nonlinear Filter for Pose Estimation Based On Fast Unscented Transform On Lie Groups)

浙江工业大学的研究为机器人和自动化(基于李群快速无迹变换的姿态估计非线性滤波器)提供了新的信息

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :27-28.

Studies from Zhejiang University of Technology Have Provided New Information abo ut Robotics and Automation (A Nonlinear Filter for Pose Estimation Based On Fast Unscented Transform On Lie Groups)

浙江工业大学的研究为机器人和自动化(基于李群快速无迹变换的姿态估计非线性滤波器)提供了新的信息

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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-一项关于机器人学的新研究-机器人和自动化现在可以使用。根据NewsRx记者对源自中华人民共和国杭州湾的新闻报道,研究本文提出了一种矩阵李群的非线性估计器,该估计器具有快速的非中心性从几何角度看sigma点的自然演化转换。与在已有的方法中,该方法保留了流形上原有的动力学方程,从而使原动力学方程保持在流形上在不改变系统配置空间或减少系统开销的情况下,大大缩短了计算时间西格玛点的数量R。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics - Robotics and Automation is now available. Accordingto news reporting originating in Hangzho u, People’s Republic of China, by NewsRx journalists, researchstated, “This art icle presents a nonlinear estimator on matrix Lie group that performs a fast uns centedtransformation with natural evolution of sigma points from a geometric pe rspective. Different from theexisting methods, the proposed method preserves th e original dynamic equations on the manifold, whichgreatly reduces the computat ional time without changing the system configuration space or reducing thenumbe r of sigma points.”

Key words

Hangzhou/People’s Republic of China/As ia/Robotics and Automation/Robotics/Zhejiang University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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