Franck Marzani
Papers
2
Total Citations
48
H-Index
2
About
Franck Marzani is a leading researcher at the intersection of robotics, computer vision, and cultural heritage preservation. His work focuses on developing high-precision robotic acquisition systems and photogrammetric techniques to solve real-world measurement challenges. A landmark contribution is his 2010 paper on "Increasing the accuracy of untaught robot positions by means of a multi-camera system" (35 citations), where he achieved sub-millimeter positional accuracy for robot-guided effectors through sophisticated photogrammetric calibration and simulation-driven parameter tuning. This foundational work enabled his later development of **LightBot** (2022, 13 citations), an innovative multi-light robotic acquisition system designed for adaptive capturing of cultural heritage surfaces. Unlike traditional free-form or dome-based systems, LightBot offers superior reproducibility and adaptability, addressing critical constraints in heritage documentation. Marzani's research uniquely bridges robotics engineering with cultural heritage science, creating practical tools that enhance both industrial automation and the preservation of historical artifacts. His work demonstrates how precise robotic systems can transform the way we capture, analyze, and protect our cultural legacy.
Research Focus
Key Achievements
Top Papers
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