Yushuo Wang
Papers
3
Total Citations
34
H-Index
2
About
Yushuo Wang is an emerging researcher at the intersection of robotics, building information modeling (BIM), and automated 3D spatial reconstruction. His work focuses on leveraging quadruped robots and LiDAR sensor technology to revolutionize how the built environment is digitally captured and documented — addressing longstanding inefficiencies in traditional, labor-intensive laser scanning workflows. Wang's most significant contribution lies in developing intelligent, autonomous systems capable of navigating and scanning complex indoor environments. His highly cited 2024 paper integrating BIM with IndoorGML for quadruped robot navigation (18 citations) demonstrated how semantic spatial data can guide robotic platforms through real-world building environments, while his 2025 work on decoupled mapping (14 citations) advanced the field by enabling more precise and scalable 3D scene reconstruction through architectural innovation in system design. Collectively, Wang's publications have accumulated over 34 citations in a remarkably short timeframe, signaling strong early-career momentum and relevance to the AEC (Architecture, Engineering, and Construction) and robotics communities. His research holds particular promise for as-built documentation, infrastructure monitoring, and digital twin development — making him a researcher to watch in the rapidly evolving space of construction automation and smart built environments.
Research Focus
Key Achievements
Top Papers
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