Control-Ready Uncertainty for Trajectory Diffusion
Diffusion models struggle to provide uncertainty needed for real-time control due to costly sampling. SCOPE is a lightweight module that augments these models by learning a structured precision matrix around nominal trajectories using score-curvature information. This produces calibrated Gaussian tubes with low overhead, offering per-timestep covariance estimates essential for safe and adaptive robot control.