SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models

SimForcing proposes a simulation-guided framework that injects motion knowledge from a simulation teacher into an action-conditioned robot world model through latent-variable distillation, mitigating appearance differences and reducing the extent to which inaccurate simulation predictions mislead real-video generation.