Robotics & Machine Learning Daily News2024,Issue(Jul.3) :43-44.

Findings from Yale University Provide New Insights into Robotics (Untethered, Dy namic Robotic Fabrics Enabled By Actively-rigid Variable Stiffness Fibers)

耶鲁大学的研究结果为机器人技术提供了新的见解(由主动刚性可变刚度纤维实现的非绳系动态机器人织物)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :43-44.

Findings from Yale University Provide New Insights into Robotics (Untethered, Dy namic Robotic Fabrics Enabled By Actively-rigid Variable Stiffness Fibers)

耶鲁大学的研究结果为机器人技术提供了新的见解(由主动刚性可变刚度纤维实现的非绳系动态机器人织物)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx Corr Espondents从康涅狄格州纽黑文发回的新闻报道,研究表明:“以织物为核心材料的机器人可以轻便、紧凑和高度灵活。理想情况下,机器人的动作、传感和结构支持是由基于纤维的组件提供的,其设计目的是在保持纤维结构的同时,与织物柔软和顺应的性质相结合。”这项研究的资助者包括美国国家航空航天管理局(NASA),国家科学基金会(NSF)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating from New Haven, Connecticut, by NewsRx corr espondents, research stated, “A robot that uses fabrics as its core body materia l can be lightweight, compact, and highly flexible. Ideally, the robot’s actuati on, sensing, and structural support are provided by fiber-based components, desi gned to integrate with the fabric’s soft and conformable nature while preserving its fiber architecture.” Funders for this research include National Aeronautics & Space Adm inistration (NASA), National Science Foundation (NSF).

Key words

New Haven/Connecticut/United States/N orth and Central America/Emerging Technologies/Machine Learning/Robot/Roboti cs/Robots/Yale University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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