NVIDIA Physical AI Community

Welcome to OpenUSD Insider—a livestream series that brings together developers, researchers, and industry leaders to explore the latest tools, workflows, and innovations shaping the future of OpenUSD. From digital twins and simulation to robotics and industrial applications, each episode features real-world use cases, technical deep dives, and insights from those working on the cutting edge.

Whether you're building complex systems, training autonomous robots, or streamlining simulation pipelines, this series is your front-row seat to the evolving OpenUSD ecosystem.

📆  Check out the full calendar for all of our upcoming events → https://nvda.ws/3JqaWnA

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⬇️Get Started → https://nvda.ws/4cZAZO1 
👀Explore OpenUSD → https://nvda.ws/3CeozBQ 
👥Join the Community → https://nvda.ws/3ZMfc6e 

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

We’re hosting an AMA to explore how open models are changing the way robots learn, reason, and interact with the world.

Open models give developers more transparency, flexibility, and control over training and deployment. In this AMA, we’ll dig into how they enable better robot learning, stronger physical and social reasoning, and faster iteration across simulation and real-world systems.

How to Participate:  

1. Post your questions in the ⁠#ama channel on Discord before January 26.  
2. Browse through the questions and upvote the ones you want answered using the ♥ emoji.  
3. Join us live at 9:00 AM PM/12:00 PM EST on January 29 to see our expert respond to top-voted questions in real time. 

Pro tip: The more specific your question, the more detailed the answer you’ll get! 

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

Join NVIDIA for Robotics Office Hours, a weekly livestream designed to help developers, researchers, and enthusiasts accelerate their robotics journey. Each session highlights Isaac Sim and Isaac Lab—powerful frameworks for robotics simulation, training, and reinforcement learning—built on NVIDIA Omniverse.

You’ll see live demos, discover practical workflows, and get your questions answered by experts.

We broadcast to YouTube (all previous episodes are also available here): https://www.youtube.com/@NVIDIAOmniverse/streams

Add upcoming events/livestreams to your own calendar: https://addevent.com/calendar/ae483892

Join the community in the Omniverse Discord server: https://discord.gg/nvidiaomniverse

NVIDIA Omniverse community page: https://nvidia.com/omnivores

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

Learn how to apply Cosmos Cookbook recipes for physical AI reasoning using Cosmos Reason in this hands-on technical deep dive.

In this session, we explore how egocentric or first-person reasoning allows robots to understand social cues and physical laws, leading to safer and more natural human–robot interactions. We also show how fine-tuning Cosmos Reason with domain-specific data, such as heavy traffic, improves understanding in complex, dynamic environments. Similar methods can be used to filter synthetic data and build visual–language agents for real-world industrial applications.

We’ll wrap up with a walkthrough of the Video Search and Summarization blueprint, showing how video analytics AI agents can search, summarize, and act on live or recorded video streams.

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html