New Models Enable Prediction, Controllable World Generation and Reasoning for Physical AITwo New Blueprints Deliver Massive Physical AI Synthetic Data Generation for Robot and Autonomous Vehicle Post-Training1X, Agility Robotics, Figure AI, Skild AI Among Early Adopters SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC—NVIDIA today announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), introducing an open and fully customizable reasoning model for physical AI development and giving developers unprecedented control over world generation.
"Cosmos introduces an open and fully customizable reasoning model for physical AI and unlocks opportunities for step-function advances in robotics and the physical industries.” Cosmos Transfer for Synthetic Data GenerationCosmos Transfer WFMs ingest structured video inputs such as segmentation maps, depth maps, lidar scans, pose estimation maps and trajectory maps to generate controllable photoreal video outputs.
The NVIDIA GR00T Blueprint for synthetic manipulation motion generation combines Omniverse and Cosmos Transfer to generate diverse datasets at scale, benefiting from OpenUSD-powered simulations and reducing data collection and augmentation time from days to hours.
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