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

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

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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 .”

JinanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsShandong University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.3)