Giacomo Maculotti
Papers
4
Total Citations
40
H-Index
4
About
Giacomo Maculotti is a leading researcher at the intersection of metrology, machine vision, and digital manufacturing. His work focuses on developing trustworthy measurement frameworks for Industry 4.0 and 5.0, with key contributions in non-contact inspection, digital twins, and photogrammetry. In his highly cited 2022 paper (15 citations), Maculotti introduced a novel non-contact gap and flushness measurement system integrating machine vision with articulated robotic arms for automated automobile assembly quality control. His 2024 work (13 citations) established a shared metrological framework for virtual experiments and digital twins, addressing critical needs for traceability and reliability in simulated environments supporting the European Green Deal. Maculotti has also advanced photogrammetry through comparative evaluations across measurement scales (7 citations), and pioneered traceable digital twins for accurate positioning in human-robot collaborative systems (5 citations, 2025). His research is notable for bridging the gap between theoretical metrology and practical industrial applications, ensuring that virtual models and robotic systems maintain rigorous measurement traceability. Maculotti’s work is essential reading for researchers and engineers developing reliable, scalable inspection and automation solutions for modern manufacturing.
Research Focus
Key Achievements
Top Papers
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