# OpenUSD

Published articles for OpenUSD.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## How to Use AI Agents to Prepare 3D Scenes for Simulation

DevFeed: [How to Use AI Agents to Prepare 3D Scenes for Simulation](<https://devfeed.tech/articles/how-to-use-ai-agents-to-prepare-3d-scenes-for-simulation-31484.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/how-to-use-ai-agents-to-prepare-3d-scenes-for-simulation/>)

Author: Tanya Lenz

Published: 2026-09-16T23:20:33Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [Simulation and Design](<https://devfeed.tech/topics/simulation-and-design.md>), [blender](<https://devfeed.tech/topics/blender.md>), [Isaac Sim](<https://devfeed.tech/topics/isaac-sim.md>), [Omniverse](<https://devfeed.tech/topics/omniverse.md>), [Robotics Simulation](<https://devfeed.tech/topics/robotics-simulation.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [blender](<https://devfeed.tech/tags/blender.md>), [gpt-6-astra](<https://devfeed.tech/tags/gpt-6-astra.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [isaac-sim](<https://devfeed.tech/tags/isaac-sim.md>), [nemoclaw](<https://devfeed.tech/tags/nemoclaw.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [openai](<https://devfeed.tech/tags/openai.md>), [openusd](<https://devfeed.tech/tags/openusd.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robotics-simulation](<https://devfeed.tech/tags/robotics-simulation.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

This tutorial describes an agentic workflow for preparing Blender 3D scenes for robotics simulation. It covers scene inspection, OpenUSD metadata, physics properties, rendering preflight views, and validation for simulation-ready handoff to NVIDIA Isaac Sim or Isaac Lab.

### Source excerpt

Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in...

## Children's Hospital of Philadelphia Uses Open Source AI and MONAI to Model Pediatric Hearts

DevFeed: [Children's Hospital of Philadelphia Uses Open Source AI and MONAI to Model Pediatric Hearts](<https://devfeed.tech/articles/heart-of-the-matter-how-a-major-children-s-hospital-uses-open-source-nvidia-ai-for-cardiac-care-26608.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/childrens-hospital-open-source-ai-cardiac-care/>)

Author: Isha Salian

Published: 2026-09-15T09:00:42Z

Content type: news

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [MONAI](<https://devfeed.tech/topics/monai.md>), [Medical imaging](<https://devfeed.tech/topics/medical-imaging.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-for-good](<https://devfeed.tech/tags/ai-for-good.md>), [healthcare-and-life-sciences](<https://devfeed.tech/tags/healthcare-and-life-sciences.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [monai](<https://devfeed.tech/tags/monai.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openusd](<https://devfeed.tech/tags/openusd.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [software](<https://devfeed.tech/tags/software.md>)

### AI overview

Children's Hospital of Philadelphia uses open source AI tools built on MONAI to generate anatomically precise pediatric heart models from medical images in seconds. Its teams are applying machine learning to support care for children with congenital heart disease.

### Source excerpt

Children's Hospital of Philadelphia is using open source AI tools to model children's hearts in seconds -- with the goal of enabling safer, more precise care for kids with congenital heart disease.

## Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps

DevFeed: [Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps](<https://devfeed.tech/articles/integrate-nvidia-omniverse-rtx-sensor-simulation-into-existing-apps-6867.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/integrate-nvidia-omniverse-rtx-sensor-simulation-into-existing-apps/>)

Author: Tanya Lenz

Published: 2026-07-20T15:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agent-skill](<https://devfeed.tech/tags/agent-skill.md>), [apis](<https://devfeed.tech/tags/apis.md>), [apps](<https://devfeed.tech/tags/apps.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [c](<https://devfeed.tech/tags/c.md>), [featured](<https://devfeed.tech/tags/featured.md>), [lidar](<https://devfeed.tech/tags/lidar.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [openusd](<https://devfeed.tech/tags/openusd.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [python](<https://devfeed.tech/tags/python.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

The article explains how to integrate NVIDIA Omniverse's ovrtx RTX sensor-simulation library into existing applications. It covers using its C and Python SDK to generate camera, lidar, radar, and related sensor outputs from OpenUSD scenes.

### Source excerpt

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and...

## Develop Lightweight USD Runtimes Faster with AI Agents

DevFeed: [Develop Lightweight USD Runtimes Faster with AI Agents](<https://devfeed.tech/articles/develop-lightweight-usd-runtimes-faster-with-ai-agents-6805.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/develop-lightweight-usd-runtimes-faster-with-ai-agents/>)

Author: Michelle Horton

Published: 2026-07-15T21:57:23Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Simulation and Design](<https://devfeed.tech/topics/simulation-and-design.md>), [Code](<https://devfeed.tech/topics/code.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [code](<https://devfeed.tech/tags/code.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [featured](<https://devfeed.tech/tags/featured.md>), [hackathon](<https://devfeed.tech/tags/hackathon.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [openusd](<https://devfeed.tech/tags/openusd.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

This article presents nanousd-labs, an experimental NVIDIA Omniverse Labs project that uses AI agents and the machine-readable USD Core Specification to generate lightweight, compliant OpenUSD runtimes. It explains how agents generate and validate code against specification-derived tests, enabling runtimes tailored to memory, performance, language, and deployment constraints.

### Source excerpt

OpenUSD is an open, extensible framework that provides a common scene description language for physical AI. It enables teams to bring CAD data, simulation...