Robotics & Machine Learning Daily News2024,Issue(Nov.29) :99-100.

Reports Outline Robotics Findings from Beijing University of Technology (Investi gation of Axis-fitting-based Measurement and Identification Techniques for Kinem atic Parameters In Multi-joint Industrial Robots)

北京工业大学机器人学研究报告概要(基于轴匹配的多关节工业机器人运动参数测量与识别技术研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :99-100.

Reports Outline Robotics Findings from Beijing University of Technology (Investi gation of Axis-fitting-based Measurement and Identification Techniques for Kinem atic Parameters In Multi-joint Industrial Robots)

北京工业大学机器人学研究报告概要(基于轴匹配的多关节工业机器人运动参数测量与识别技术研究)

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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-机器人的最新研究结果已经公布。根据新闻报道由NewsRx记者发源于中华人民共和国北京,研究称:“至”提高了工业机器人定位精度,满足了工业应用的要求,本文从多关节工业机器人的结构设计入手,提出了一种运动学基于轴拟合的标定方法。提出了一种基于小波变换的轴拟合技术关于圆Fittin G ."

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 reportingoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Toimprove the po sitioning accuracy of industrial robots and meet the requirements of industrial applications,this study begins with the structural design of multi-jointed indu strial robots and proposes a kinematiccalibration method based on axis fitting. The proposed method introduces an axis fitting technique basedon circle fittin g.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Beijing University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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