Diego Tiozzo Fasiolo
Papers
7
Total Citations
173
H-Index
5
About
Diego Tiozzo Fasiolo is a leading researcher in agricultural robotics and autonomous mapping, whose work is shaping the future of precision farming. His primary contributions lie in developing and evaluating SLAM (Simultaneous Localization and Mapping) systems for mobile robots operating in complex, unstructured environments. His highly cited 2023 review on autonomous mapping in agriculture (91 citations) established a foundational framework for integrating ground robotics with supportive technologies. Tiozzo Fasiolo has systematically advanced the field through rigorous experimental comparisons of LiDAR and IMU-based SLAM algorithms (47 citations), providing crucial guidance for practitioners. His innovative work extends to real-world applications, including analyzing grapevine canopy status using both UAVs and ground robots, and developing deep learning-based people detection for safe autonomous indoor mapping. His recent research demonstrates robust navigation and mapping capabilities in forest environments, proving the viability of these technologies for tree trait estimation. With over 170 citations across his publications, Tiozzo Fasiolo is recognized for bridging the gap between robotic perception research and practical agricultural deployment, making him a key figure in the transition toward fully autonomous farming systems.
Research Focus
Key Achievements
Top Papers
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- 2Comparing LiDAR and IMU-based SLAM approaches for 3D robotic mapping47 citations · 2023
- 3Recent Trends in Mobile Robotics for 3D Mapping in Agriculture10 citations · 2022
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