Robotics & Machine Learning Daily News2024,Issue(Jun.7) :11-12.

New Findings from Tsinghua University in the Area of Robotics Described (A study on the dynamics of a novel seven degrees of freedom spray-painting robot with a telescopic forearm)

描述了清华大学在机器人领域的新发现(一种具有伸缩前臂的新型七自由度喷漆机器人动力学研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :11-12.

New Findings from Tsinghua University in the Area of Robotics Described (A study on the dynamics of a novel seven degrees of freedom spray-painting robot with a telescopic forearm)

描述了清华大学在机器人领域的新发现(一种具有伸缩前臂的新型七自由度喷漆机器人动力学研究)

扫码查看

摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx记者在中华人民共和国北京的新闻报道,Research称:“本文研究了用于大型工件喷漆的具有伸缩前臂的七个N自由度机器人的动力学。”新闻记者引用清华大学的研究成果:“提出了一种数值与分析相结合的两步逆运动学求解方法,用于喷涂应用的七自由度机器人的运动学逆解,基于运动学模型,提出了一种新的两步逆解方法。”采用牛顿-欧拉方法推导了机器人的动力学模型,在动力学参数辨识中,将动力学模型写成与动力学参数成线性关系的形式,考虑了伸缩前臂对机器人动力学的影响。为了评价伸缩前臂对机器人动态载荷的影响,提出了两个新的性能指标:惯性载荷和重力载荷。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In this article, the dynamics of a seve n degrees of freedom robot with a telescopic forearm for the spray-painting of l arge workpiece is investigated.” The news reporters obtained a quote from the research from Tsinghua University: “A novel two-step inverse kinematic solving method that combines numerical and a nalytical approaches is proposed to solve the inverse kinematics of the seven de grees of freedom robot with two redundant degrees of freedom for spray-painting applications. Based on the kinematic model, the dynamic model is derived using t he Newton-Euler method. For the dynamic parameter identification, the dynamic mo del is written in a linear form with respect to dynamic parameters. Considering the effect of the telescopic forearm on the dynamics of the robot, two novel per formance indices concerning the inertial load and gravitational load in the join t space are proposed to evaluate the effect of the telescopic forearm on the dyn amic load of the robot.”

Key words

Tsinghua University/Beijing/People’s R epublic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文