I. Winata

Uncertainty-Calibrated Hamilton-Jacobi Value Learning for Safe Crowd Navigation

Safe navigation in human crowds requires efficiency and reliability. Learning-based policies run fast but can fail under distribution shift, whereas Hamilton–Jacobi (HJ) reachability offers principled safety guarantees but is computationally expensive. We propose a prediction-conditioned reachability framework that bri...