Pieter Pauwels
Papers
8
Total Citations
268
H-Index
6
About
Pieter Pauwels is a leading researcher at the intersection of Building Information Modeling (BIM), robotics, and smart construction, whose work is reshaping how automated systems interact with the built environment. His research focuses on integrating semantic building data with robotic systems to enable autonomous navigation, coordinated multi-robot assembly, and intelligent construction planning — areas of growing critical importance as the construction industry embraces automation. Pauwels has made significant contributions to robot coordination in prefabricated construction, developing component-oriented methods that allow multiple robots to collaborate on complex assembly tasks (69 citations). His pioneering application of deep reinforcement learning to real-time assembly planning has demonstrated how AI-driven approaches can dramatically improve construction efficiency (64 citations). Equally influential is his work bridging digital twins and robotics, establishing robust data transfer frameworks for robot navigation in built environments (48 citations) and connecting BIM semantic models with LiDAR-based localization systems (36 citations). With a growing body of work spanning IFC-based simulation environments, ROS-BIM data integration, and semantic path planning for heterogeneous robots, Pauwels has established himself as an essential voice in the digitalization of construction. His research provides students and practitioners alike with foundational tools for building smarter, more autonomous construction workflows.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8