Robotics & Machine Learning Daily News2024,Issue(Jun.14) :36-37.

Findings from Zhejiang Science Technical University Provides New Data about Robo tics (Robotica: Decoupled Elastostatic Stiffness Modeling of Hybrid Robots)

浙江科技大学的研究成果提供了Robo tics(Robotica:混合机器人的解耦弹性静态刚度建模)的新数据

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :36-37.

Findings from Zhejiang Science Technical University Provides New Data about Robo tics (Robotica: Decoupled Elastostatic Stiffness Modeling of Hybrid Robots)

浙江科技大学的研究成果提供了Robo tics(Robotica:混合机器人的解耦弹性静态刚度建模)的新数据

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsRx记者在杭州的新闻报道,研究表明:“基于刚性原理、螺旋理论、应变能和卡斯蒂利亚诺第二定理,提出了一种混合机器人弹性刚度建模的解耦方法,实现了并联和串联模块的解耦,以及各弹性元件对机构刚度性能的贡献。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Hangzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “A decoupling method is proposed for the elastic stiffness modeling of hybrid robots based on the rigidi ty principle, screw theory, strain energy, and Castigliano’s second theorem. It enables the decoupling of parallel and serial modules, as well as the individual contributions of each elastic component to the mechanism’s stiffness performanc e.”

Key words

Hangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Zhejia ng Science Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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