Robotics & Machine Learning Daily News2024,Issue(Dec.6) :1-2.

Findings from China University of Mining and Technology Has Provided New Data on Robotics (Tightly Coupled Robust Positioning of Visual-inertial-wheel Encoders In Visually Challenging Environments)

中国矿业大学的研究结果提供了机器人学的新数据(视觉惯性轮编码器在视觉挑战环境中的紧密耦合鲁棒定位)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :1-2.

Findings from China University of Mining and Technology Has Provided New Data on Robotics (Tightly Coupled Robust Positioning of Visual-inertial-wheel Encoders In Visually Challenging Environments)

中国矿业大学的研究结果提供了机器人学的新数据(视觉惯性轮编码器在视觉挑战环境中的紧密耦合鲁棒定位)

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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-机器人的研究成果在一份新的报告中被使用。据新闻报道研究称,NewsRx记者源于中华人民共和国徐州的报道,轮式机器人在人们的日常生活中得到了广泛的应用,精确定位是实现这一目标的前提。自主导航"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in Xuzhou, People ’s Republic of China, by NewsRx journalists, research stated,“Wheeled robots ha ve been widely used in People’s Daily life. Accurate positioning is the premise ofautonomous navigation.”

Key words

Xuzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/China Un iversity of Mining and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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