Robotics & Machine Learning Daily News2024,Issue(Jul.2) :49-49.

Reports from Vrije Universiteit Brussel (VUB) Describe Recent Advances in Roboti cs (Modeling of Flexible Shaft for Robotics Applications)

布鲁塞尔Vrije Universiteit(VUB)的报告描述了Roboti CS(机器人应用柔性轴建模)的最新进展

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :49-49.

Reports from Vrije Universiteit Brussel (VUB) Describe Recent Advances in Roboti cs (Modeling of Flexible Shaft for Robotics Applications)

布鲁塞尔Vrije Universiteit(VUB)的报告描述了Roboti CS(机器人应用柔性轴建模)的最新进展

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摘要

根据来自比利时布鲁塞尔的新闻报道,NewsRx Cor的受访者称,“减少移动质量和有效惯性对于实现安全的人-机器人协作至关重要。这可以通过远程驱动实现。”将致动器的质量从机器人的移动元件移开,或通过弹性致动,将致动器的惰性IA与机器人连杆的惯性解耦。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Brussels, Belgium, by NewsRx cor respondents, research stated, “Reducing moving mass and effective inertia is ess ential for achieving safe human-robot collaboration. This can be achieved either by employing remote actuation, which moves the mass of actuators away from the moving elements of the robot, or by elastic actuation, which decouples the inert ia of the actuator from the inertia of the robot’s link.”

Key words

Brussels/Belgium/Europe/Emerging Tech nologies/MachineLearning/Robot/Robotics/Vrije Universiteit Brussel (VUB)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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