Paper 'Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation' published in October 2025
Paper 'Design and Control of A Tilt-Rotor Tailsitter Aircraft with Pivoting VTOL Capability' published in April 2025
Paper 'On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events' accepted at CVPR 2025
Introduced MAVRL (Memory-Augmented Varying-speed Reinforcement Learning), a novel obstacle avoidance pipeline, announced in January 2025
Paper 'Direct learning of home vector direction for insect-inspired robot navigation' presented at ICRA 2024
Collaborative work 'End-to-end Neural Network Based Optimal Quadcopter Control' with ESA’s Advanced Concepts Team published in Science Robotics, June 2024
'Fully neuromorphic vision and control for autonomous drone flight' published in Science Robotics, May 2024
'ALBERO: Agile Dynamic Perching of Quadrotors on Real Tree Branches' published in IEEE Robotics and Automation Letters
Won 1st place in both outdoor and indoor competitions and Best Paper Award at IMAV 2024
Participated in the EU-funded 'Unmanned Valley' research initiative