Edoardo Caroselli

Aleatoric and epistemic uncertainties in gyroscope bias correction reveal critical insights into system reliability under perturbations, with epistemic uncertainty proving more effective at distinguishing operational conditions.

Hybrid controllers leveraging deep reinforcement learning outperform traditional methods in spacecraft re-entry attitude control, even under challenging conditions.