Robotics & Machine Learning Daily News2024,Issue(Nov.20) :72-73.

Researchers from China University of Mining and Technology Report Details of New Studies and Findings in the Area of Field Robotics (Autonomous Positioning for Mobile Vehicles Based On Visual-inertial Fusion In Challenging Dark Roadway Scen es)

中国矿业大学的研究人员报告了野外机器人(基于视觉-惯性融合的机动车辆自主定位在具有挑战性的黑暗路面场景)领域的最新研究和发现细节

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :72-73.

Researchers from China University of Mining and Technology Report Details of New Studies and Findings in the Area of Field Robotics (Autonomous Positioning for Mobile Vehicles Based On Visual-inertial Fusion In Challenging Dark Roadway Scen es)

中国矿业大学的研究人员报告了野外机器人(基于视觉-惯性融合的机动车辆自主定位在具有挑战性的黑暗路面场景)领域的最新研究和发现细节

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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-机器人的最新数据-现场机器人s在一份新的报告中提出。根据来自徐州的新闻,由NewsRx记者报道,研究称,“(UMVs)型自动驱动井下采矿车和煤矿机器人精确定位”(CMRs)确实是煤矿智能化的核心之一,与传统的煤矿智能化完全不同。在地面和停车场的定位中,要实现准确的定位是很困难的在黑暗和狭窄的道路上穿梭的UMV的主动定位。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics - Field Robotic s are presented in a new report. According tonews originating from Xuzhou, Peop le’s Republic of China, by NewsRx correspondents, research stated,“Accurate pos itioning for autonomous driven underground mining vehicles (UMVs) and coal mine robots(CMRs) is indeed one of the cores in the intelligentization of coal minin g. Completely different frompositioning on the ground and in parking scenes, th ere will be great difficulties in realizing the accurateactive positioning for UMVs shuttled in dark and narrow roadways.”

Key words

Xuzhou/People’s Republic of China/Asia/Field Robotics/Robotics/China University of Mining and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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