Robotics & Machine Learning Daily News2024,Issue(Jul.2) :46-47.

Research Data from Shanghai Jiao Tong University Update Understanding of Machine Learning (Residual Stress-driven Non-euclidean Morphing In Origami Structures)

上海交通大学研究数据更新机器学习(折纸结构中残余应力驱动的非欧几里得变形)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :46-47.

Research Data from Shanghai Jiao Tong University Update Understanding of Machine Learning (Residual Stress-driven Non-euclidean Morphing In Origami Structures)

上海交通大学研究数据更新机器学习(折纸结构中残余应力驱动的非欧几里得变形)

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摘要

由一名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-一项关于机器学习的新研究现在已经可用。根据NewsRx记者从中国人民日报上海发回的新闻报道,研究表明:“变形折纸具有从二维平面到三维表面的内在变形能力,具有许多潜在的工程应用价值。然而,目前采用刚性或轻微变形面板的可折叠折纸的一维铰链变形Dr Iven变换无法实现复杂的三维和大的曲线变形。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Shanghai, People’s Repu blic of China, by NewsRx correspondents, research stated, “Morphing origami has numerous potential engineering applications owing to its intrinsic morphing feat ures from 2D planes to 3D surfaces. However, the current 1D hinge deformation-dr iven transformation of foldable origami with rigid or slightly deformable panels cannot achieve a 3D complex and large curvilinear morphing.”

Key words

Shanghai/People's Republic of China/As ia/Machine Learning/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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