Alessandra Spreafico
Papers
1
Total Citations
2
H-Index
1
About
Alessandra Spreafico is a leading researcher at the intersection of robotics, geomatics, and cultural heritage preservation. Her work pioneers the use of autonomous robotic systems for high-precision 3D surveying of historical sites, addressing the critical need for safer, more efficient documentation methods. Her most-cited paper, "Robotics for Heritage Surveying: preliminary test on Leica BLK ARC & Spot® toward autonomous 3D mapping" (2024), demonstrates a groundbreaking application of legged robots—specifically Boston Dynamics’ Spot—equipped with advanced LiDAR scanners to autonomously map complex heritage environments. This research showcases how robotics can overcome traditional surveying limitations in hazardous or inaccessible locations, reducing human risk while capturing millimeter-accurate data. Though her work is emerging, with 2 citations to date, its relevance to the rapidly evolving fields of digital heritage and construction automation signals growing influence. Spreafico’s contributions are reshaping how we document and protect cultural assets, merging cutting-edge engineering with conservation science. Her innovative approach positions her as a key voice in the future of autonomous heritage surveying, inspiring new methodologies for preserving our shared history.
Research Focus
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Top Papers
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