Franco Docchio

University of Brescia, Brescia University

Papers

10

Total Citations

176

H-Index

7

About

Franco Docchio is a prominent researcher at the University of Brescia whose work spans industrial machine vision, human-robot collaboration, and optoelectronics. He has made significant contributions to the integration of 2D and 3D vision systems in robotic environments, pioneering practical solutions for pick-and-place operations through projects like Roboscan and Optoranger, which together have garnered over 50 citations. His more recent work has placed him at the forefront of deep learning-based hand gesture recognition for collaborative robots, leveraging Faster R-CNN architectures and depth-sensing cameras to enable intuitive human-robot interaction — research that has attracted over 80 citations across multiple publications. Docchio has also advanced safety systems for robotic cells using Time-of-Flight cameras and sophisticated point cloud analysis, as well as smart vision solutions for in-line laser welding monitoring. Beyond laboratory research, he has demonstrated a commitment to translating academic innovation into industry impact, notably through fostering university-industry synergies in photonics and optoelectronics in the Brescia region. His career reflects a compelling blend of foundational optical measurement expertise and cutting-edge applied AI, making him a well-rounded and influential figure in industrial automation research.

Research Focus

Key Achievements

7
H-Index
10
Papers
176
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning-based hand gesture recognition for collaborative robots
53 citations · 2019
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Brescia, Brescia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago