A. Borrmann
Papers
1
Total Citations
5
H-Index
1
About
A. Borrmann is a leading researcher in the intersection of building information modeling (BIM) and robotics, with a core focus on lifelong indoor navigation and localization. Their major contributions center on developing robust algorithms that bridge the gap between static BIM models and dynamic real-world environments. Borrmann’s most-cited work, "OGM2PGBM: Robust BIM-based 2D-LiDAR localization for lifelong indoor navigation" (2023, 5 citations), introduces a particle filter-based approach that explicitly addresses Scan-BIM deviations—the critical discrepancies between reference models and actual building conditions. This work is notable for its practical impact on autonomous systems, enabling reliable robot localization in changing indoor spaces. By tackling the challenge of model-reality mismatches, Borrmann has advanced the field of lifelong navigation, where robots must operate consistently over extended periods. Their research is highly relevant for students and engineers working on SLAM, sensor fusion, and digital twin technologies. With a growing citation footprint, Borrmann’s work is shaping how BIM data can be leveraged for real-time robotic applications, making them a key figure in the convergence of construction informatics and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1