
🧐 Simulation has long promised robot pretraining, but breaks at the moment of real-world deployment. 🚀 Today, we introduce SIM1: the first real-to-sim-to-real paradigm where the generative world becomes the same one as reality. SIM1 produces simulation data whose execution is directly valid in the physical world, enabling policies trained entirely in simulation to transfer zero-shot, at scale. 📈 This unlocks a new scaling law for robotics: we scale intelligence without scaling real-world data. ✨ Few demonstrations in, real-world policies out. Simulation is no longer a proxy; it is supervision itself. internrobotics.github.io/sim1.github.io/ huggingface.co/papers/2604.08…



















