Marina Serena Borgatti
Papers
3
Total Citations
12
H-Index
2
About
Marina Serena Borgatti is pioneering the use of robotics and artificial intelligence for ecological conservation, with a sharp focus on automating the monitoring of fragile European habitats. Her research sits at the intersection of computer vision, robotics, and field ecology, developing artificial vision models to identify and catalog plant species directly in their natural environments. Borgatti’s major contributions include the creation of the first labeled datasets for robotic plant detection in Annex I habitats of Italy, specifically using the quadrupedal robot ANYmal C to capture images of ecologically significant species. She has also led targeted monitoring efforts in the Italian Alps, surveying the EU Natura2000 habitat 8110—siliceous screes—demonstrating how robots can augment human capabilities in challenging terrains. Her work extends to Mediterranean ecosystems, where she has analyzed artificial vision models across four distinct environments. Though early in her career, with her most-cited papers accumulating 5 citations each, Borgatti’s foundational datasets and methodologies are poised to become essential tools for large-scale, automated biodiversity assessment, directly supporting EU conservation directives and offering a scalable solution for habitat monitoring worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3