Robotics & Machine Learning Daily News2024，Issue(Dec.3) ：93-93.

New Robotics Findings from Shandong University Described (Object-level Semantic Metric Mapping for Robot Object Search In Home Environment)

山东大学机器人学的新发现(家庭环境中机器人对象搜索的对象级语义度量映射)

Robotics & Machine Learning Daily News2024，Issue(Dec.3) ：93-93.
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New Robotics Findings from Shandong University Described (Object-level Semantic Metric Mapping for Robot Object Search In Home Environment)

山东大学机器人学的新发现(家庭环境中机器人对象搜索的对象级语义度量映射)

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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-调查人员讨论机器人的新发现。根据新闻报道中华人民共和国济南，NewsRx编辑，研究称，"环境地图发挥着重要作用。在促进服务机器人目标对象搜索方面起着关键作用(TOS)。为了提高效率为了加深机器人对环境的理解,提出了一种对象级语义公制地图(OSMM)施工方法"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting out ofJinan, People’s Republic of China, by NewsRx editors, research stated, “The environmental map plays acrucial role in facilitating the service robot target object search (TOS). In order to enhanc e the efficiency ofrobot TOS and deepen the robot’s understanding of the enviro nment, we propose an object-level semanticmetric map (OSMM) construction method .”

Key words

Jinan/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Shandong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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