How to Use AI Agents to Prepare 3D Scenes for Simulation | NVIDIA Technical Blog

This post details an agentic workflow for preparing 3D scenes in Blender for robotics simulation. It introduces the use of Codex (powered by GPT-6 Astra) as an orchestrator and specialized subagents built with NVIDIA NemoClaw and the Hermes agent harness. These subagents leverage NVIDIA Omniverse Libraries (ovphysx for physics, ovrtx for rendering, and SimReady for validation) to inspect scenes via Blender's Model Context Protocol (MCP), author simulation-relevant metadata in OpenUSD, configure physics properties, and render preflight views. The workflow aims to automate the tedious preparation of 3D assets for simulation environments like NVIDIA Isaac Sim or Isaac Lab.