Robotics & Machine Learning Daily News2024,Issue(Jul.1) :107-107.

Investigators at Hebei University of Technology Discuss Findings in Robotics (Re liability Analysis of Industrial Robot Positional Errors Based On Statistical Mo ment Similarity Metrics)

河北工业大学的研究人员讨论机器人学的发现(基于统计运动相似性度量的工业机器人位置误差再责任分析)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :107-107.

Investigators at Hebei University of Technology Discuss Findings in Robotics (Re liability Analysis of Industrial Robot Positional Errors Based On Statistical Mo ment Similarity Metrics)

河北工业大学的研究人员讨论机器人学的发现(基于统计运动相似性度量的工业机器人位置误差再责任分析)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsRx记者对天津的新闻报道,研究表明:“提出了一种基于位置误差统计矩相似性的工业机器人位置精度可靠性分析新方法,通过微分运动学方法精确获得了某些位置误差的前两阶统计量,从而降低了该方法的计算成本。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Tianjin, People’s Repu blic of China, by NewsRx journalists, research stated, “A new positional accurac y reliability analysis method of industrial robots is proposed based on the stat istical moment similarity of positional error. The first-two order statistical m oments of positional error at some positions are accurately obtained through the differential kinematics method to reduce the computational cost of the proposed method.”

Key words

Tianjin/People's Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Hebei 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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