2025
AREPO: Uncertainty-Aware Robot Ensemble Learning Under Extreme Partial Observability
RA-L 2025
Real-world applications of vision-based robot learning face two major challenges: extreme partial observability and effective simulation-to-reality (sim-to-real) transfer. This letter introduces a robust robot learning framework that enhances uncertainty awareness to address these challenges. We rei