Robotics & Machine Learning Daily News2024,Issue(Dec.5) :78-78.

Researchers from University of Calabria Report Recent Findings in Robotics (Simu lation-based Digital Twin for Enhancing Humanrobot Collaboration In Assembly Sy stems)

卡拉布里亚大学的研究人员报告了机器人学的最新发现(基于Simu Lation的数字双胞胎,用于加强装配系统中人-机器人的协作)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :78-78.

Researchers from University of Calabria Report Recent Findings in Robotics (Simu lation-based Digital Twin for Enhancing Humanrobot Collaboration In Assembly Sy stems)

卡拉布里亚大学的研究人员报告了机器人学的最新发现(基于Simu Lation的数字双胞胎,用于加强装配系统中人-机器人的协作)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员在机器人S中详细介绍了新的数据。Di Rende,Italy,by NewsRx Corr-respondents,Research States,"新技术和新技术的出现"例如物联网(IoTs)、数字孪生(DT)、人机协作(HRC)、提供了极大的机会来提高制造环系统的性能,同时也为我们打开了大门新的挑战。当前的科学文献突出了大量的理论研究,但现实生活中的应用程序有限,需要解决互操作性问题,目的是实现虚拟化人类、机器人、机器不断生成的数据。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Arcavacatadi Rende, Italy, by NewsRx corr espondents, research stated, “The advent of new technologies andparadigms such as the Internet of Things (IoTs), Digital Twin (DT), Human- Robot Collaboration (HRC),is offering immense opportunities to improve the performance of manufactu ring systems, but also openingnew challenges. The current scientific literature highlights the presence of numerous theoretical studies,but limited real-life applications, and the need to address interoperability issues, with the aim of v alorizingthe data continuously generated by humans, robots, machines.”

Key words

Arcavacata di Rende/Italy/Europe/Emer ging Technologies/Machine Learning/Robot/Robotics/University of Calabria

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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