5 Steps to Create SimReady Assets for Robotics with Frontier AI Models | NVIDIA Technical Blog

This post details a five-step workflow for converting CAD assets into simulation-ready OpenUSD assets for robotics using NVIDIA Omniverse libraries, SimReady Foundation specifications, and AI agent skills. It demonstrates the process with an ABB YuMi robot, highlighting the use of GPT-6 Astra to generate Python code for asset import, appearance matching, physics configuration (including joint axes, limits, mass properties, and friction coefficients of 0.8 static/0.6 dynamic), SimReady validation, and pick-and-place task execution in Isaac Sim. The workflow leverages the CAD-to-SimReady skill for agentic guidance and emphasizes the importance of SimReady profiles for validating asset structure, materials, and physics properties.