Robotics & Machine Learning Daily News2024,Issue(Jul.2) :110-111.

Research from Donghua University Yields New Data on Robotics (Calibration Optimi zation of Kinematics and Dynamics for Delta Robot Driven by Integrated Joints in Machining Task)

东华大学的研究产生了机器人学的新数据(加工任务中集成关节驱动Delta机器人运动学和动力学校准优化)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :110-111.

Research from Donghua University Yields New Data on Robotics (Calibration Optimi zation of Kinematics and Dynamics for Delta Robot Driven by Integrated Joints in Machining Task)

东华大学的研究产生了机器人学的新数据(加工任务中集成关节驱动Delta机器人运动学和动力学校准优化)

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摘要

由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于机器人的最新研究结果已经发表。根据NewsRx记者在中华人民共和国上海的新闻报道,研究表明,"针对3-R(RPaR构型的台达反渗透机器人在加工任务中的应用,本文分别构建了54参数的运动学误差模型和包含集成关节位置误差和摩擦的简化动力学模型"。本研究的资助者包括国家自然科学基金、上海市科技创新行动计划、上海市科技规划项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “For the application of Delta ro bots with a 3-R(RPaR) configuration in machining tasks, this paper constructed a 54-parameter kinematic error model and a simplified dynamic model incorporating an integrated joint’s position error and friction, respectively.” Funders for this research include National Natural Science Foundation of China; Shanghai Science And Technology Innovation Action Plan; Shanghai Science And Tec hnology Planning Project.

Key words

Donghua University/Shanghai/People's R epublic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Rob ot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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