Masaki Murooka

GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning

Masaki Murooka, Ryoichi Nakajo, Keisuke Shirai, Tomohiro Motoda, Hanbit Oh, Ryo Hanai, et al.

End-to-end visuomotor policies provide little opportunity for humans to understand or correct the policy's visual attention. We propose GuidedAttention, a visuomotor imitation learning framework that introduces interpretable and correctable visual attention as an explicit interme…Read more