In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States

Fernando Castañeda, Haruki Nishimura, Rowan McAllister +2

Learning-based control approaches have shown great promise in performing complex tasks directly from high-dimensional perception data for real robotic systems. Nonetheless, the lea…