Antonio De Stefano
Papers
1
Total Citations
17
H-Index
1
About
Antonio De Stefano is a researcher at the intersection of robotics, computer vision, and cultural heritage preservation. His work focuses on developing automated systems for the 3D digitization of artifacts, addressing the critical challenge of documenting and safeguarding cultural heritage with precision and efficiency. His most-cited paper, "Modeling a virtual robotic system for automated 3D digitization of cultural heritage artifacts" (2015, 17 citations), introduces a novel framework that simulates robotic scanning processes to optimize data capture for complex objects. This contribution provides a foundational methodology for integrating robotics into heritage documentation, reducing manual intervention while enhancing accuracy. De Stefano’s research bridges engineering and conservation, offering scalable solutions for museums and archaeological sites. His work has been cited by scholars exploring digital preservation, autonomous scanning, and virtual reconstruction, underscoring its relevance in both robotics and heritage science. By advancing automated digitization, De Stefano helps make cultural heritage more accessible for study, education, and virtual exhibition, positioning him as a key contributor to the growing field of digital heritage.
Research Focus
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Top Papers
- 1