All four models are post-trained examples of Cosmos 3 Nano and have 16B trainable parameters. The models use OpenMDW1.1, permitting commercial and non-commercial use under its terms.
🦾 Robotics needs environments that can answer this across changing scenes and viewpoints. These checkpoints offer complementary ways to build them: Sim-Bimanual predicts visual consequences from actions, while Sim-Transfer turns a physics simulator’s controls into generated observations.
🚦 For autonomous driving, appearance and geometry must agree. Synchronized camera and LiDAR generation connects visual observations with 3D sensing. Scene and traffic-signal controls let researchers vary road layouts and signal states, then study how a driving policy responds.
