Robotics & Machine Learning Daily News2024,Issue(Jun.28) :39-40.

Data from National University of Singapore Provide New Insights into Robotics (D ynamic Modeling and Validation of a Hybrid-driven Continuum Robot With Antagonis tic Mechanisms)

新加坡国立大学的数据为机器人学提供了新的见解(具有对抗机构的混合驱动连续机器人的动力学建模和验证)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :39-40.

Data from National University of Singapore Provide New Insights into Robotics (D ynamic Modeling and Validation of a Hybrid-driven Continuum Robot With Antagonis tic Mechanisms)

新加坡国立大学的数据为机器人学提供了新的见解(具有对抗机构的混合驱动连续机器人的动力学建模和验证)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-一项关于机器人的新研究现在开始了。根据NewsRx记者在新加坡的新闻报道,研究表明:“为了满足不同任务的实际需求,混合驱动连续机器人需要有效地应对快速的内部动态变化,相对较快的运动速度,以及增强的运动灵活性。这迫使我们从连续机器人动力学的角度寻求解决方案。”这项研究的财政支持来自新加坡科学、技术和研究机构科学和工程研究委员会,通过国家机器人计划。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting from Singapore, Singapore, by NewsRx journalists , research stated, “To satisfy the actual needs of different tasks, hybrid -driv en continuum robots need to effectively cope with rapid internal dynamic changes , relatively fast motion speeds, and enhanced flexibility in motions. This fact forces us to seek solutions from the perspective of the dynamics of continuum ro bots.” Financial support for this research came from Science and Engineering Research C ouncil, Agency of Science, Technology and Research, Singapore, through the Natio nal Robotics Program.

Key words

Singapore/Singapore/Asia/Emerging Tec hnologies/Machine Learning/Nano-robot/Robot/Robotics/National University of Singapore

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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