NVIDIA says frontier AI agents are helping developers build simulation apps
Developers are using Omniverse libraries and AI agents to create and refine simulators for robots, driving tests and digital twins faster.
NVIDIA says developers are using frontier AI agents with Omniverse libraries to build and iterate on simulation apps, from warehouse robots and autonomous-driving tests to sensor validation, robot sports drills, disassembly planning and a browser-based International Space Station viewer. In the warehouse example, Frank DeLise had Astra connect Omniverse physics, rendering, scene updates and UI components to a SimReady warehouse and humanoid robot to produce an interactive simulator. Doyub Kim used Astra to build Zero to Alpamayo around San Francisco’s Market Street, while Ashley Reid had Astra and Claude Fable 5 compare camera and LiDAR outputs against recorded data to create two digital twins from scratch and improve two more over about three days. Other demos included Tae Kim’s Robo Olympics, where a Unitree G1 cleared a hurdle in 64 of 100 trials, Jens Jebens’ Isaac Sim disassembly workflow for a car suspension, and Nic Johns’ NASA/ISS browser app built from a single prompt and then adjusted to show Earth’s daytime side.
Why it matters
This points to a faster path from an idea to a working simulation for teams building robot, vehicle and sensor workflows. It also shows the work can now include creating and comparing digital twins, not just assembling models by hand, which may shorten iteration cycles when developers need to test behavior against recorded data.
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Sources
- NVIDIA Blog