Papers

4

Total Citations

56

H-Index

3

About

Huan Yin is a researcher at the forefront of mobile robotics, LiDAR-based localization, and the integration of Building Information Modeling (BIM) with autonomous systems. Their work addresses fundamental challenges in how robots perceive, map, and navigate complex real-world environments, with particular emphasis on reducing the computational and labor costs associated with traditional mapping pipelines. Among their most notable contributions is pioneering research on BIM-based robot localization, demonstrating in real-world construction settings how as-planned architectural models can replace costly pre-built point cloud maps — a significant step toward deploying robots in the architecture, engineering, and construction (AEC) industry. This work has garnered 11 citations since 2022. Yin has also advanced lightweight multi-session LiDAR mapping through semantic line and plane representations, offering a practical alternative to dense point clouds in urban environments, earning 10 citations. Their comprehensive survey on global LiDAR localization consolidates two decades of progress in the field, providing a valuable reference for both newcomers and seasoned researchers. Presented work at the prestigious International Symposium on Automation and Robotics in Construction further underscores their growing influence in construction robotics and intelligent autonomous systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
56
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Proceedings of the 39th International Symposium on Automation and Robotics in Construction
32 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 110
🏛 Institutions: Autodesk (United States), Hong Kong University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago