Enrico Bellocchio
Papers
7
Total Citations
160
H-Index
6
About
Enrico Bellocchio is a leading researcher in agricultural robotics and computer vision, whose work bridges the gap between autonomous systems and real-world farming applications. His primary research areas include visual localization, fruit yield estimation, and human-robot interaction, with a particular focus on developing robust, data-driven solutions for precision agriculture. Bellocchio’s most impactful contribution is his 2017 paper on robust visual semi-semantic loop closure detection using covisibility graphs and CNN features (48 citations), which advanced the field of robotic navigation under challenging environmental conditions. He has also pioneered novel approaches to automatic fruit counting, including a quasi-unsupervised framework combining domain adaptation and spatial consistency (38 citations) and a weakly supervised vision-based system for yield estimation (23 citations). Notably, Bellocchio created the ARD-VO dataset (19 citations), a critical resource for agricultural robotics research in vineyards and olive groves. His work extends to human-robot interaction with UAVs through transfer learning for gesture recognition (18 citations) and smart building automation with the ROS-based SmartSEAL framework. With a consistent focus on making autonomous systems more adaptable and practical, Bellocchio continues to shape the future of agricultural robotics.
Research Focus
Key Achievements
Top Papers
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- 4ARD‐VO: Agricultural robot data set of vineyards and olive groves19 citations · 2023
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