Robotics & Machine Learning Daily News2024,Issue(Jun.20) :37-38.

Data on Robotics Detailed by Researchers at Shanghai University (Analyzing Defor mation Factors In Six-segment Dielectric Elastomer Actuator Grippers: a Finite E lement Method-based Numerical Simulation)

上海大学研究人员详细介绍的机器人数据(分析六段介质弹性体致动器夹具变形因素:基于有限元法的数值模拟)

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :37-38.

Data on Robotics Detailed by Researchers at Shanghai University (Analyzing Defor mation Factors In Six-segment Dielectric Elastomer Actuator Grippers: a Finite E lement Method-based Numerical Simulation)

上海大学研究人员详细介绍的机器人数据(分析六段介质弹性体致动器夹具变形因素:基于有限元法的数值模拟)

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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-调查人员讨论机器人学的新发现。根据NewsR X通讯员从中华人民共和国上海发来的消息,研究称:“介电弹性体致动器(DEAs)由于其大的位移,高的能量密度,快速的响应时间和适应性的设计特点,被创造性地认为是柔性机器人致动器中的关键部件。然而,DEAs的广泛采用受到了诸如制造成本升高和固有非线性特性等挑战的阻碍,这模糊了对介电弹性体(DE)相关材料性能和控制DEA操作的电压制度之间的相互关系的全面理解。本研究的资助者包括国家自然科学基金(NSFC)、国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Robotics. A ccording to news originating from Shanghai, People's Republic of China, by NewsR x correspondents, research stated, "Dielectric elastomer actuators (DEAs) are in creasingly recognized as pivotal components in flexible robotic actuators due to their substantial displacement, high energy density, rapid response times, and adaptable design characteristics. Nonetheless, the widespread adoption of DEAs i s impeded by challenges such as elevated manufacturing costs and inherent nonlin ear characteristics, which obscure a comprehensive understanding of the interpla y between dielectric elastomer (DE) related material properties and voltage stim uli governing DEA operation." Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC).

Key words

Shanghai/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Mathematics/Numerical Modeling/Ro botics/Robots/Shanghai University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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