AI Agent · Nvidia · NVIDIA Blog
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
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Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended.
Key facts
- With 80 conveyors, 40 arms and 800 boxes, the simulation sustained 30 frames per second at full HD resolution during a two-minute test
- His kitchen scene included 180 placements drawn from 63 unique library assets, alongside 18 custom geometry pieces
- Ashley Reid, who works on RTX sensor validation at NVIDIA, directed Astra and Claude Fable 5 agents to compare ovrtx camera and raw LiDAR outputs with recorded data
- With SimReady Central Library, announced at GTC Berlin, developers can access more than 2,000 simulation-ready USD assets from equipment manufacturers and asset providers for robotics simulations
Summary
Developers direct AI agents through natural-language instructions, review results and guide changes. Explore the projects below to see frontier AI models such as GPT-6 Astra at work, and check back for new examples from NVIDIA teams and developers across the ecosystem. Planning warehouse automation requires a model of the building itself, but shelving and machinery can obscure its structure in site scans. David Wehr, from NVIDIA’s simulation technology team, built on that work using Astra to develop a workflow for digitally reconstructing a building without its contents.