| Background | Raffaele Brilli received his M.Sc. in Computer Science and Robotics Engineering from the University of Perugia in 2021, with a thesis concerning the development of a reactive collision avoidance system for MAVs based on monocular depth estimation. He is currently a research assistant at the University of Perugia, and he his primarly focusing on studying novel UAVs/MAVs autonomous flight approaches using Deep Learning techniques. His research interests include mainly Robotics, Machine Learning and Computer Vision. |
