Scholar
Federico Magistri
Google Scholar ID: irT8pKcAAAAJ
PhD Student at Photogrammetry and Robotics Lab, University of Bonn
Citations & Impact
Citations
913
H-index
18
i10-index
28
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Winner of the Best Paper Award on Agri-Robotics at the Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2024; Finalist of the Best Paper Award in Service Robotics at the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2024; Honorable Mention by the IEEE Robotics and Automation Letters (RA-L), 2023; Winner of the Outstanding Automation Paper Award at the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023; Finalist of the Best Paper Award on Agri-Robotics at the Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022; Winner of the Outstanding Automation Paper Award at the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2022; Publication: Spatio-Temporal Consistent Semantic Mapping for Robotics Fruit Growth Monitoring (IEEE Robotics and Automation Letters, 2025)
Research Experience
- PhenoRob Project - Robotics and Phenotyping for Sustainable Crop Production (DFG Cluster of Excellence); SAGA Project - Swarm Robotics for Precision Agriculture (founded by the ECHORD++ project); Teaching: Informative Path Planning for UAV-based Crop/Weed Segmentation (2020), Visual-Inertial Odometry in Orchard Environments (2021), Visual-Haptic Robust Navigation for Under Canopy Exploration (2022), Autonomous Drone Mapping in Orchard Environments (2024), 3D Coordinate Systems (from Winter Semester 2020 to Summer Semester 2023)
Education
- Ph.D. Student, Photogrammetry Lab, University of Bonn, since November 2019; M.Sc. in Artificial Intelligence and Robotics, “La Sapienza” University of Rome, Thesis on Swarm Robotics for Precision Agriculture, in collaboration with the National Research Council of Italy and Wageningen University and Research; Erasmus student at the University of Freiburg for one semester
Background
- Research Interests: Computer Vision, Machine Learning, Multi-Robot Systems, Agricultural Robotics
