3 papers
cs.RO2025
Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation
Hang Yu, Christophe De Wagter, Guido C. H. E de Croon
Sim-to-real transfer is a fundamental challenge in robot reinforcement learning. Discrepancies between simulation and reality can significantly impair policy performance, especiall…
cs.RO2025
Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling
Stavrow A. Bahnam, Christophe De Wagter, Guido C. H. E. de Croon
Ego-motion estimation is vital for drones when flying in GPS-denied environments. Vision-based methods struggle when flight speed increases and close-by objects lead to difficult v…
cs.RO2025
One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms
Robin Ferede, Till Blaha, Erin Lucassen +2
In high-speed quadcopter racing, finding a single controller that works well across different platforms remains challenging. This work presents the first neural network controller…