Papers
1
Total Citations
13
H-Index
1
About
Laura Brambilla is a leading researcher at the intersection of robotics, computer vision, and cultural heritage preservation. Her primary research focuses on developing adaptive robotic acquisition systems for high-fidelity surface characterization of cultural artifacts. Brambilla’s most notable 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 reproducible, adaptive capturing of cultural heritage surfaces, her work addresses critical challenges in documenting delicate and irregular objects. Her flagship paper on LightBot (2022) has already garnered 13 citations, reflecting its growing influence in the field. Beyond this, Brambilla’s research advances automated 3D modeling techniques, bridging robotics and heritage science to create practical tools for museums and conservationists. Her achievements include developing systems that improve both the accuracy and accessibility of surface geometry acquisition, positioning her as an innovator in applying robotics to preserve humanity’s shared cultural legacy.
Research Focus
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Top Papers
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