Carol Martínez

Reward-Free Continual Adaptation for Resilient Space Robots

This work introduces a reward-free continual learning framework that leverages latent-state world models that adapts to altered dynamics without receiving new rewards across simulated planetary traversal, orbital navigation, and precision assembly tasks subjected to severe morphological failures.