Linus Schaub
Papers
1
Total Citations
5
H-Index
1
About
Linus Schaub is a researcher at the forefront of integrating digital construction technologies with autonomous systems. His work centers on Building Information Modeling (BIM), computer vision, and robotics, with a particular focus on enabling seamless interaction between physical construction sites and their digital twins. Schaub’s most notable contribution is his pioneering approach to registering point cloud data with BIM models, a critical step for robot localization and Augmented Reality (AR) applications in dynamic construction environments. His 2022 paper on this topic, which has already garnered 5 citations, provides a foundational method for allowing mobile robots to accurately navigate and localize within complex building sites by aligning real-world sensor data with pre-existing digital models. This work directly addresses the challenge of bringing BIM’s life-cycle benefits—such as progress control, maintenance, and remote inspection—into practical, real-time use. By bridging the gap between static digital plans and the messy reality of construction, Schaub is helping to unlock the next generation of autonomous inspection and AR-assisted building management.
Research Focus
Key Achievements
Top Papers
- 1