首页|Findings from National University of Singapore Update Understanding of Robotics (Semantic Enrichment of Bim With Indoorgml for Quadruped Robot Navigation and Au tomated 3d Scanning)
Findings from National University of Singapore Update Understanding of Robotics (Semantic Enrichment of Bim With Indoorgml for Quadruped Robot Navigation and Au tomated 3d Scanning)
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
Investigators publish new report on Ro botics. According to news reporting from Singapore, Singapore, by NewsRx journal ists, research stated, "Planning scan routes with prior knowledge can improve sc an data quality and completeness. This paper presents a BIM-enabled approach to optimize quadruped robot navigation for automated 3D scanning." Funders for this research include Ministry of Education Singapore under the Acad emic Research Fund Tier 1, National Natural Science Foundation of China (NSFC), China Scholarship Council, Key Laboratory of Geospace Environment and Geodesy, M inistry of Education, Wuhan University. The news correspondents obtained a quote from the research from the National Uni versity of Singapore, "The BIM data schema is enriched with IndoorGML, integrati ng building geometry with spatial data to establish an indoor navigation model d escribing multi-scale spatial topological networks. This navigation model, which includes an enhanced greedy algorithm, optimizes quadruped robot scanning posit ions and traversal sequences. The scan planning optimization outperforms existin g heuristic algorithms in computational efficiency, coverage, and scan point cou nt. The BIM-enabled approach is validated on ROS and in real-world conditions wi th a 3D LiDAR sensor integrated with a quadruped robot. The robotic scans achiev e visible coverage of 70 -90% of the structure, with a fluctuatio n of 0.006 -0.021 mm compared to traditional laser scans."
SingaporeSingaporeAsiaEmerging Tec hnologiesMachine LearningRobotRoboticsRobotsNational University of Sin gapore
NETL
NSTL
