flow-based-policy

FastOPD proposes an on-policy distillation framework that compresses large Vision-Language-Action (VLA) foundation models into lightweight students with few inference steps, retaining 84% of π₀.₅'s LIBERO performance at a 78.1% latency reduction and deploying a compact student distilled from MolmoAct2 on a real robot.