Yuly Castro
Papers
1
Total Citations
13
H-Index
1
About
Yuly Castro is a researcher at the intersection of robotics, computer vision, and cultural heritage preservation. Her primary research focuses on developing automated acquisition systems for capturing and modeling surface geometry of cultural heritage artifacts. Castro's most significant contribution is the development of LightBot, a multi-light position robotic acquisition system designed for adaptive capturing of cultural heritage surfaces. This innovative system addresses critical limitations of existing free-form and dome-based acquisition methods by introducing robotic precision and reproducibility to multi-light imaging techniques. While her work is still emerging, with her flagship paper "LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces" (2022) accumulating 13 citations, the impact lies in its practical application for museums and conservation efforts. Castro's research bridges the gap between robotics engineering and heritage science, offering a reproducible, automated solution for documenting surface details that manual or static systems cannot achieve. Her work represents a promising step toward making high-quality cultural heritage digitization more accessible and scientifically rigorous.
Research Focus
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Top Papers
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