Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World Modeling
FoMo-FD (Flow-Matching World Model for Failure Detection), a failure detection method that learns nominal short-horizon visual dynamics with an action-conditioned flow-matching world model, outperforms observation-level anomaly baselines and a prediction-error variant of the same world model.