World model simulation environments trained on a team's own robot data so teams can train and evaluate policies without being bottlenecked by physical robot…
One Robot builds realistic simulation environments by training world models on data from a customer's physical robot, capturing both physics and visual fidelity. Teams use these environments to run more experiments, discover edge cases, and generate targeted synthetic training data to fix policy failures before deployment. The approach is designed for contact-rich manipulation tasks such as deformable objects and precise assembly. A 60-second autoregressive rollout from a single wrist camera conditioned on controller actions demonstrates the system's visual realism. One Robot is a product of One Robot.