Asher J. Hancock

Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Vision-language-action (VLA) models trained on large-scale internet data and robot demonstrations have the potential to serve as generalist robot policies. However, despite their large-scale training, VLAs are often brittle to task-irrelevant visual details such as distractor objects or background c