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World Models for Physical AI: How Intelligent Systems Learn and Adapt in the Real World


About this webinar
Breakthroughs in generative AI are bringing 3D perception, control, skill planning and intelligence to robots and Physical AI systems" says NVIDIA's Rev Lebaredian, VP, Omniverse and Simulation Technology.
World models like NVIDIA’s GR00T N1 and Dreamer are enabling machines and environments to understand and act in the real world safely. But how?Join the Encord ML research team on May 22nd to explore how the latest World Model breakthroughs can be harnessed within agentic data workflows to accelerate real-world deployment of Physical and Embodied AI.
In this demo-focussed webinar, you’ll learn how to:
- Use World Modelling to expand interaction possibilities for AI systems in real world environments
- Identify, supervise and correct edge-case behavior within petabyte-scale sensor data.
- Simplify your data pipeline to produce clean, aligned VLA datasets for robotics, autonomous vehicles, industrial AI, and more.
Who Should Attend: AI/ML leads, robotics engineers, perception teams, and data-centric AI practitioners building next-generation embodied or multimodal systems.
Don’t miss this deep dive into the data and simulation infrastructure behind real-world AI. Reserve your spot now.
Register now
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