3 papers
cs.LG2025
An efficient neuromorphic approach for collision avoidance combining Stack-CNN with event cameras
Antonio Giulio Coretti, Mattia Varile, Mario Edoardo Bertaina
Space debris poses a significant threat, driving research into active and passive mitigation strategies. This work presents an innovative collision avoidance system utilizing event…
cs.LG2024
Neural-based Control for CubeSat Docking Maneuvers
Matteo Stoisa, Federica Paganelli Azza, Luca Romanelli +1
Autonomous Rendezvous and Docking (RVD) have been extensively studied in recent years, addressing the stringent requirements of spacecraft dynamics variations and the limitations o…
cs.LG2024
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation
Francesco Evangelisti, Francesco Rossi, Tobia Giani +2
Accurate satellite pose estimation is crucial for autonomous guidance, navigation, and control (GNC) systems in in-orbit servicing (IOS) missions. This paper explores the impact of…