Papers
3
Total Citations
34
H-Index
2
About
Ruoming Zhai is an emerging researcher at the intersection of robotics, building information modeling (BIM), and autonomous sensing technologies. His work focuses primarily on automated 3D scene reconstruction, robot navigation, and the semantic enrichment of spatial data for built environments. Zhai's most significant contribution lies in developing innovative frameworks that integrate quadruped robots with LiDAR sensors to automate the labor-intensive process of as-built 3D scanning and documentation — a longstanding challenge in the architecture, engineering, and construction industries. His most cited work, "Semantic enrichment of BIM with IndoorGML for quadruped robot navigation and automated 3D scanning" (2024, 18 citations), demonstrates his ability to bridge semantic spatial standards with cutting-edge robotics, enabling intelligent autonomous navigation within complex indoor environments. His subsequent research on decoupled mapping approaches further advances reconstruction accuracy and operational efficiency, accumulating 14 citations within a year of publication. Zhai's contributions are particularly impactful for researchers and practitioners seeking to reduce human labor in facility documentation and improve the fidelity of digital twins. Though early in his career, his rapidly growing citation record signals meaningful influence in the smart construction and autonomous systems communities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3