Robotics & Machine Learning Daily News2024,Issue(Dec.2) :126-127.

New Findings from Qingdao University in the Area of Robotics Described (A Method of Dense Point Cloud Slam Based On Improved Yolov8 and Fused With Orb-slam3 To Cope With Dynamic Environments)

描述了青岛大学在机器人领域的新发现(一种基于改进的Yolov8和Orb-slam3融合的密集点云Slam方法以应对动态环境)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :126-127.

New Findings from Qingdao University in the Area of Robotics Described (A Method of Dense Point Cloud Slam Based On Improved Yolov8 and Fused With Orb-slam3 To Cope With Dynamic Environments)

描述了青岛大学在机器人领域的新发现(一种基于改进的Yolov8和Orb-slam3融合的密集点云Slam方法以应对动态环境)

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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-调查人员发布关于机器人的新报道。根据新闻报道来自中国青岛的NewsRx记者,研究称,“随着发展,”随着科学的发展和技术的进步智能机器人在各个领域得到了广泛的应用菲尔兹同时,同步定位与测绘(SL AM)技术也是一项关键技术在智能机器人的研究领域。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting originatingfrom Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “With the developmentof so ciety and the advancement of technology, intelligent robots have been widely use d in variousfields. At the same time, Simultaneous Localization and Mapping (SL AM) technology is a key technologyin the research field of intelligent robots.”

Key words

Qingdao/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Technology/Qi ngdao University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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