Robotics & Machine Learning Daily News2024,Issue(Jul.3) :7-8.

Studies from Jilin University Have Provided New Information about Robotics (A No vel Approach for Robotic Welding Trajectory Recognition Based On Pseudo-binocula r Stereo Vision)

吉林大学的研究为机器人学提供了新的信息(一种基于伪双目立体视觉的机器人焊接轨迹识别新方法)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :7-8.

Studies from Jilin University Have Provided New Information about Robotics (A No vel Approach for Robotic Welding Trajectory Recognition Based On Pseudo-binocula r Stereo Vision)

吉林大学的研究为机器人学提供了新的信息(一种基于伪双目立体视觉的机器人焊接轨迹识别新方法)

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摘要

Robotics&Machine Learning Daily News的新闻记者兼工作人员新闻编辑在一份新的报告中介绍了关于机器人的最新数据。根据NewsRx记者从长春发回的新闻报道,研究表明:“对于平面焊缝,定位海米、定位起弧点、定位灭弧点、定位夯实轨迹,往往是通过低效的教学回放方式来实现的,为了解决这一系列问题,提出了一种基于伪双目立体视觉的三维焊接轨迹识别方法,赋予机器人在非标准平面焊缝或批焊平面焊缝中的自主能力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics are presented in a new rep ort. According to news reporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated, “For plane welds, positioning sea m, positioning arc-starting point, positioning arc-extinguishing point, and prog ramming trajectory are often achieved through inefficient teaching-playback mode . For solving this series of problems, a novel approach of 3D welding trajectory recognition based on pseudo-binocular stereo vision is proposed to endow robots with autonomy in the welding non -standard plane welds or batch plane welds.”

Key words

Changchun/People's Republic of China/A sia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Robot s/Jilin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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