FlowWAM Uses Optical Flow as Unified Action Representation for World Action Models

Jul 15, 2026

FlowWAM introduces a dual-stream diffusion framework that adopts optical flow as a unified, video-native action representation for World Action Models (WAMs). The approach enables leveraging large-scale, action-unlabeled video datasets for pretraining and achieves state-of-the-art results on RoboTwin manipulation (92.94% success rate) and WorldArena world modeling (63.71 EWMScore).

Why it matters: This work bridges video generation and robot control by leveraging optical flow, enabling improved action prediction and world modeling through pretraining on unlabeled video data.

Full story at: arXiv Robotics ↗