Robotics & Machine Learning Daily News2024,Issue(Dec.4) :20-20.

Recent Findings in Robotics Described by Researchers from Tianjin University (An Effective Path Planning Approach for Robot Welding Considering Redundant Kinema tics)

天津大学研究人员描述的机器人学最新发现(一种考虑冗余Kinema的机器人焊接路径规划方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :20-20.

Recent Findings in Robotics Described by Researchers from Tianjin University (An Effective Path Planning Approach for Robot Welding Considering Redundant Kinema tics)

天津大学研究人员描述的机器人学最新发现(一种考虑冗余Kinema的机器人焊接路径规划方法)

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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-机器人的研究发现在一份新的报告中被使用。据新闻报道NewsRx记者从中国天津报道,研究称,"机器人焊接"冗余运动学要求焊接路径的精确协调和冗余轴的运动稳定运行。摘要介绍了一种有效的G3-3连续路径规划方法6DOF搅拌摩擦焊接机器人,结合红轴运动提高焊接稳定性和焊接稳定性质量。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting from Tianjin, People’s Republ ic of China, by NewsRx journalists, research stated, “Robot weldingwith redunda nt kinematics demands precise coordination of the welding path and redundant axi s motionfor stable operation. This paper introduces an effective G3 3 continuou s path planning approach fora 6DOF friction stir welding robot, integrating red undant axis motion to enhance welding stability andquality.”

Key words

Tianjin/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Tianjin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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