Papers

10

Total Citations

102

H-Index

7

About

Gianmauro Fontana is a leading researcher in micro-robotics and advanced manufacturing, whose work is shaping the future of electronics assembly and remanufacturing. His primary research areas span micro-manipulation, vision-based control systems, and automated defect detection for printed circuit boards (PCBs). Fontana’s major contributions include the design and development of flexible, reconfigurable micro-factories and mini work-cells that enable precise handling and assembly of microcomponents. His pioneering work on vision-based control strategies and unconventional calibration techniques has significantly enhanced the accuracy and reliability of robotic micromanipulation systems. With his most cited paper, “Micro-robotic Handling Solutions for PCB (re-)Manufacturing” (28 citations), Fontana addresses critical challenges in miniaturized electronics production and end-of-life reuse. His recent application of advanced deep learning algorithms like Mask R-CNN and YOLOv8 for PCB defect detection (2025, 11 citations) demonstrates his commitment to integrating cutting-edge AI with traditional manufacturing. Fontana’s research has also explored automation solutions for flexible electronics assembly and optical backplane interconnection circuits, showcasing his versatility. His work, accumulating over 100 citations, is essential reading for students and researchers in micro-robotics, automation, and smart manufacturing.

Research Focus

Key Achievements

7
H-Index
10
Papers
102
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Micro-robotic Handling Solutions for PCB (re-)Manufacturing
28 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: National Research Council, Construction Technologies Institute

Top Papers

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    Micro-assembly
    10 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago