video prediction

EVO-WAM: Evolving World Action Models through Video-Action Verificationarxiv.org

EVO-WAM adapts world action models to unseen robot tasks by generating video-action rollouts and self‑verifying them with vision-language and inverse dynamics models, removing the need for external execution or new demonstrations. It raises simulated RoboTwin 2.0 success rates from ~27% to 68% (Cosmos3) and ~28% to 46% (DreamZero), and boosts real‑world composite task success from 20% to 76.7%.