Mohamed Bashir Elnoor

HALO : Human Preference Aligned Offline Reward Learning for Robot Navigation

In this paper, we introduce HALO, a novel Offline Reward Learning algorithm that quantifies human intuition in navigation into a vision-based reward function for robot navigation. HALO learns a reward model from offline data, leveraging expert trajectories collected from mobile robots. During traini…