Robotics & Machine Learning Daily News2024,Issue(Jun.10) :16-17.

Reports from Taiyuan University of Technology Advance Knowledge in Robotics (Res earch on coal mine XR intelligent operation and maintenance system for complex c ollaborative tasks involving multiple humans and multiple robots)

太原理工大学机器人技术前沿报道(煤矿XR智能操作维护系统研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :16-17.

Reports from Taiyuan University of Technology Advance Knowledge in Robotics (Res earch on coal mine XR intelligent operation and maintenance system for complex c ollaborative tasks involving multiple humans and multiple robots)

太原理工大学机器人技术前沿报道(煤矿XR智能操作维护系统研究)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于机器人的新报告。据NewsRx编辑的《中华人民共和国太原消息》报道,该研究称,“随着煤矿智能的发展和煤矿机器人的应用,”摘要:煤矿作业人员与煤矿机器人之间的高效协作在复杂的井下任务的执行中起着至关重要的作用。基于数字孪生的概念,结合XR领域的丰富经验,优化煤矿作业人员与煤矿机器人之间复杂的作业关系。针对煤矿多人多抢的复杂协同任务,研究了XR智能运维系统的设计与关键技术。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news originating from Taiyuan, People’s Republic of China, by NewsRx editors, the research stated, “With the development of coal mine intel ligence and the application of coal mine robots, an efficient collaboration betw een coal mine operators and coal mine robots plays a crucial role in the executi on of complex underground tasks. To optimize the complex operational relationshi p of multiple coal mine operators and multiple robots, based on the concept of d igital twin and extensive experience in the XR field, the research is conducted on the design and key technologies of XR intelligent operation and maintenance s ystem for complex collaborative tasks involving multiple humans and multiple rob ots in coal mines.”

Key words

Taiyuan University of Technology/Taiyua n/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Na no-robot/Robot/Robotics/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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