Papers
17
Total Citations
327
H-Index
9
About
Marc Fabritius is a robotics and construction automation researcher whose work sits at the intersection of cable-driven parallel robots (CDPRs), machine learning-based accuracy enhancement, and advanced manufacturing for the built environment. His most influential contribution, "Cable-driven parallel robot for curtain wall module installation" (2022, 79 citations), demonstrated that CDPRs can achieve the precision required for large-scale façade construction while competing economically with traditional manual methods — a landmark result for construction robotics. Complementing this, his earlier foundational work on modular end-effectors for curtain wall installation (2020) laid critical groundwork for safe, high-altitude automation. Fabritius has also made significant strides in concrete 3D printing, with his life cycle assessment of additive–subtractive hybrid manufacturing (2021, 73 citations) influencing sustainable construction discourse. His 2021 hybrid neural network paper (33 citations) addressed a persistent gap in industrial robotics by applying machine learning to improve absolute positioning accuracy. Across control theory, sensor development, and workspace analysis for CDPRs, Fabritius has built a cohesive, high-impact research portfolio that is reshaping how robots are deployed in demanding construction environments.
Research Focus
Key Achievements
Top Papers
- 1Cable-driven parallel robot for curtain wall module installation79 citations · 2022
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- 6Concrete hybrid manufacturing: A machine architecture18 citations · 2021
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- 8A Laser-Based Direct Cable Length Measurement Sensor for CDPRs13 citations · 2021
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