Davide Maria Fabris
Papers
4
Total Citations
11
H-Index
2
About
Davide Maria Fabris is a researcher specializing in precision metrology and measurement science, with a focus on advancing 3D spatial localization and robotic systems. His work centers on the metrological characterization of multi-degree-of-freedom measurement devices, particularly for Industry 4.0 applications. Fabris’s major contributions include developing a framework for optimizing non-linear 3D misalignment measurement systems, which leverages the ISO Guide to the Expression of Uncertainty in Measurement to enhance accuracy in relative position and orientation tracking between rigid bodies. He has also pioneered a combined theoretical-experimental procedure using Monte Carlo simulations and design of experiments for robust metrological characterization. Notably, Fabris has explored the intersection of deep learning and metrology, evaluating the uncertainty in 3D object pose estimation frameworks like DenseFusion, and has investigated monocular vision systems for fiducial marker localization. While his citation counts (2–4 per paper) reflect a growing, specialized impact, his work is foundational for precision in automated manufacturing and robotic control. Fabris’s research bridges classical metrology with modern AI, offering critical insights for students and engineers developing high-accuracy sensing systems.
Research Focus
Key Achievements
Top Papers
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