Sreevishakh Vasudevan Nampoothiri

Viewpoint-Agnostic Manipulation Policies with Strategic Vantage Selection

Since vision-based manipulation policies are typically trained from data gathered from a single viewpoint, their performance drops when the view changes during deployment. Naively aggregating demonstrations from numerous random views is not only costly but also known to destabilize learning, as exce…