Bauke de Vries
Papers
5
Total Citations
181
H-Index
4
About
Bauke de Vries is a pioneering researcher at the intersection of robotics, artificial intelligence, and construction engineering, with a particular focus on prefabricated housing and smart construction automation. His work addresses one of the field's most pressing challenges: enabling multiple robots to collaborate intelligently on complex, multi-step construction tasks rather than operating in isolation. De Vries has made significant contributions by developing smart component-oriented methods for construction robot coordination (69 citations) and applying deep reinforcement learning to real-time assembly planning in robotic prefabricated construction (64 citations). These advances represent a meaningful leap from single-robot capabilities toward fully automated, adaptive construction workflows. His research also bridges the gap between Building Information Modeling (BIM) and robotic systems — notably through IFC-based simulation environments and ROS integration frameworks — enabling more flexible, interoperable construction planning across diverse robot models and platforms. With a growing citation profile exceeding 180 citations across his key works, de Vries has established himself as a leading voice in intelligent construction robotics. His research is particularly relevant for scholars and practitioners exploring how AI-driven automation, BIM, and IoT can converge to transform the efficiency, quality, and safety of modern prefabricated construction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5