Marvin Nurit

Université de Bourgogne

Papers

1

Total Citations

13

H-Index

1

About

Marvin Nurit is a researcher at the intersection of computer graphics, cultural heritage preservation, and robotic automation. His primary research focuses on developing adaptive, robotic acquisition systems for high-fidelity digitization of cultural heritage surfaces. Nurit’s major contribution is the creation of LightBot, a pioneering multi-light position robotic acquisition system that overcomes the limitations of traditional free-form and dome-based capture methods. By enabling precise, reproducible, and adaptive lighting control, LightBot significantly improves the characterization of surface geometry and reflectance for fragile or complex artifacts. His most-cited paper, "LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces" (2022, 13 citations), has already established a foundation for automated, high-quality heritage documentation. This work demonstrates his impact in making advanced photometric techniques more accessible and reliable for conservation and digital archiving. Nurit’s research is notable for bridging robotics and cultural heritage, offering a scalable solution that promises to transform how museums and archaeologists capture and preserve the world’s material history.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Université de Bourgogne

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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