Robotics & Machine Learning Daily News2024,Issue(Jun.7) :57-58.

Southwest Jiaotong University Researcher Updates Current Study Findings on Robot ics (Real-Time Space Trajectory Judgment for Industrial Robots in Welding Tasks)

西南交通大学研究员更新机器人ics(焊接任务中工业机器人实时空间轨迹判断)最新研究成果

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :57-58.

Southwest Jiaotong University Researcher Updates Current Study Findings on Robot ics (Real-Time Space Trajectory Judgment for Industrial Robots in Welding Tasks)

西南交通大学研究员更新机器人ics(焊接任务中工业机器人实时空间轨迹判断)最新研究成果

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx编辑在中华人民共和国成都的新闻报道,研究表明,"在焊接任务中,机器人的重复定位精度通常可以达到微米级,但每个XI在每次操作中的数据可能会有所不同。"本研究的资助者包括Swjtu的技术开发项目。我们的新闻编辑引用了西南交通大学的一篇研究报告:“甚至可能出现机器人不按照设定的焊接轨迹运行的失控情况,这可能导致机器人和设备发生碰撞损坏,因此,提出了一种焊接机器人轨迹的实时判断方法。”通过焊接机器人的运行获取多组轴数据,并利用所提出的算法对数据的相位进行对齐,然后利用Kendall相关系数识别和去除弱轴数据,然后计算多组强相关轴Da Ta的平均值作为标准轨迹,基于轨迹偏差判断灵敏度,采用m±ns方法设定机器人的轨迹阈值,最后利用实时轴轨迹与标准轨迹的绝对差值确定机器人运行轨迹的偏差,当偏差达到阈值时,开始预警。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “In welding tasks, the repeated positioning precision of robots can generally reach the micron level, but the data of each a xis during each operation may vary.” Funders for this research include The Technology Development Project of Swjtu. Our news editors obtained a quote from the research from Southwest Jiaotong Univ ersity: “There may even be out-of-control situations where the robot does not ru n according to the set welding trajectory, which may cause the robot and equipme nt to collide and be damaged. Therefore, a real-time judgment method for the wel ding robot trajectory is proposed. Firstly, multiple sets of axis data are obtai ned by running the welding robot, and the phase of the data is aligned by using a proposed algorithm, and then the Kendall correlation coefficient is used to id entify and remove weak axis data. Secondly, the mean of multiple sets of axis da ta with strong correlation is calculated as the standard trajectory, and the tra jectory threshold of the robot is set using the m ± ns method based on the traje ctory deviation judgment sensitivity. Finally, the absolute difference between t he real-time axis trajectory and the standard trajectory is used to determine th e deviation of the running trajectory. When the deviation reaches the threshold, a forewarning starts.”

Key words

Southwest Jiaotong University/Chengdu/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano- robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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