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NVIDIA Omniverse· August 12, 2026· 41:10

World Models: The Frontier of Physical AI | Physical AI Day at SIGGRAPH 2026

An NVIDIA Omniverse presenter at Physical AI Day at SIGGRAPH 2026 explains how world models, especially Cosmos, can help train and deploy AI in robots and other physical systems.

In this talk

  1. 0:26

    Physical AI needs scalable data

    The presenter says AI has changed digital work, while factories, farms, vehicles and other physical systems remain a large opportunity. Teleoperation produces accurate demonstrations but is slow to scale, and simulations take work to build. World foundation models could generate robot-centered scenarios and turn computing time into training data.

  2. 4:19

    Cosmos combines understanding and generation

    The presenter describes Cosmos as a foundation for developers to build world models for their own needs. Cosmos 3 is presented as supporting text, images, video, audio and action, with an autoregressive tower for reasoning and a diffusion tower for generating outputs. The models are offered in three sizes: H at 4 billion parameters for on-device use, Nano at 16 billion as a starting point, and Super at 64 billion for higher-fidelity results.

  3. 26:34

    A shared action language for different robots

    Cosmos treats action as a core modality and represents movement with geometric elements such as body pose, end-effector pose and grasp state. The presenter says this lets vehicles, robot arms, humanoids and human-view videos map into a common scheme. The model can support dynamics, inverse dynamics and policy, connecting actions, observed outcomes and decisions.

  4. 31:29

    From world models to real-time robot control

    The presenter frames dynamics as predicting effects, inverse dynamics as inferring actions from observed changes, and policy as selecting actions for a task. NVIDIA's Edge Policy demonstration runs on a Jetson Thor embedded device at about 130 watts, using camera input to control a robot arm in real time. Cosmos can also be adapted with a developer's own data, while distillation is described as cutting generation from 50 steps to four.

  5. 35:47

    An open platform with an expanding roadmap

    NVIDIA's Cosmos GitHub repository brings model releases, inference options, fine-tuning and distillation scripts together. The presenter says the platform includes open models, data and frameworks, and previews Cosmos 3.5 with multi-view modeling and a mixture-of-experts approach. A coalition of companies is expected to contribute research, data and evaluation.

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