Interactive World Simulator for Robot Policy Training and Evaluation

ArXi:2603.08546v1 Announce Type: cross Action-conditioned video prediction models (often referred to as world models) have shown strong potential for robotics applications, but existing approaches are often slow and struggle to capture physically consistent interactions over long horizons, limiting their usefulness for scalable robot policy