首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
QingdaoPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsTechnologyQi ngdao University
NETL
NSTL
