Robotics & Machine Learning Daily News2024,Issue(Jun.5) :86-87.

Recent Findings from Zhejiang University Provides New Insights into Robotics (Fr om Tunnel Boring Machine To Tunnel Boring Robot: Perspectives On Intelligent Shi eld Machine and Its Smart Operation)

浙江大学最近的研究成果为机器人学提供了新的见解(从隧道掘进机到隧道掘进机:智能掘进机及其智能操作展望)

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :86-87.

Recent Findings from Zhejiang University Provides New Insights into Robotics (Fr om Tunnel Boring Machine To Tunnel Boring Robot: Perspectives On Intelligent Shi eld Machine and Its Smart Operation)

浙江大学最近的研究成果为机器人学提供了新的见解(从隧道掘进机到隧道掘进机:智能掘进机及其智能操作展望)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx记者来自中国杭州的新闻报道,研究表明,“智能盾构机的进步反映了从传统的隧道掘进机ES(TBMs)到隧道掘进机(TBRs)的演变趋势。这一转变旨在解决传统盾构机行业因施工环境和人工操作而面临的挑战。”本研究的资金支持单位包括国家自然科学基金(NSFC)、盾构机国家重点实验室开放项目及工程技术。本报编辑引用浙江大学的一篇研究报告,“本文对智能盾构技术进行了系统的回顾,重点介绍了智能盾构技术的智能操作。”介绍了智能盾构机及其智能操作的发展现状,分析了盾构机的操作过程,提出了一种兼顾单机和机群水平的自主操作框架,并对实现盾构机智能操作面临的挑战和建议。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating from Hangzhou, People’s Republ ic of China, by NewsRx correspondents, research stated, “Advances in intelligent shield machines reflect an evolving trend from traditional tunnel boring machin es (TBMs) to tunnel boring robots (TBRs). This shift aims to address the challen ges encountered by the conventional shield machine industry arising from constru ction environment and manual operations.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Open Project of State Key Laboratory of Shield Machine and B oring Technology. Our news editors obtained a quote from the research from Zhejiang University, “T his study presents a systematic review of intelligent shield machine technology, with a particular emphasis on its smart operation. Firstly, the definition, mea ning, contents, and development modes of intelligent shield machines are propose d. The development status of the intelligent shield machine and its smart operat ion are then presented. After analyzing the operation process of the shield mach ine, an autonomous operation framework considering both stand-alone and fleet le vels is proposed. Challenges and recommendations are given for achieving autonom ous operation.”

Key words

Hangzhou/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/Technology/Zhejia ng University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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