Francesco Crocetti
Papers
7
Total Citations
71
H-Index
5
About
Francesco Crocetti is a robotics researcher whose work bridges the critical gap between autonomous systems and real-world agricultural applications. His research focuses on agricultural robotics, computer vision, and autonomous navigation, with significant contributions to yield estimation and field robotics. Crocetti’s most impactful work, “A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications” (23 citations), introduces a practical approach to automating crop assessment that reduces the need for labor-intensive data labeling. He further advanced the field by creating ARD‐VO, the Agricultural Robot Data Set of Vineyards and Olive Groves (19 citations), providing the community with essential real-world data for developing robust farming robots. Beyond agriculture, Crocetti has made notable contributions to aerial robotics, including developing Gaussian Process models for learning quadrotor dynamics (12 citations) and monocular collision avoidance systems for MAV teleoperation using deep reinforcement learning (6 citations). His recent work explores integrating AI-driven ground robots with mobile edge computing and mmWave communications (2024), demonstrating his commitment to pushing autonomous systems toward practical, deployable solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2ARD‐VO: Agricultural robot data set of vineyards and olive groves19 citations · 2023
- 3
- 4
- 5
- 6
- 7