Robotics & Machine Learning Daily News2024,Issue(Nov.28) :142-143.

Reports Summarize Robotics Study Results from Northeastern University (One-step Identification of Robot Physical Dynamic Parameters Considering the Velocity-loa d Friction Model)

东北大学机器人研究成果综述机器人物理动力学参数的一步辨识(一步辨识)考虑速度-极限摩擦模型

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :142-143.

Reports Summarize Robotics Study Results from Northeastern University (One-step Identification of Robot Physical Dynamic Parameters Considering the Velocity-loa d Friction Model)

东北大学机器人研究成果综述机器人物理动力学参数的一步辨识(一步辨识)考虑速度-极限摩擦模型

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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-研究人员用机器人S详细介绍了新数据。在中华人民共和国沈阳,NewsRx记者的研究表明:“我们提出了一种机器人。”为了提高辨识精度,引入了一个摩擦模型考虑接头载荷。首先,分析了杆关节的力矩传递,给出了一个物理模型电机惯性参数的含义。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting originatingin Shenyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “We propose a robotdynamic model to improve the accuracy of the identification, by introducing a friction model tha t takesinto account the joint loads. Firstly, we analyze torque transfer in rob ot joints, assigning a physicalmeaning to motor inertia parameters.”

Key words

Shenyang/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/Northeastern Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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