NVIDIA Physical AI Community
Stay connected with the NVIDIA Physical AI community by adding our events to your calendar! Whether virtual or in person, you can now easily keep track of all upcoming happenings. Simply select your calendar, accept the calendar subscription notice, and once accepted, all our events will automatically sync to your calendar application or mobile device. Never miss out on a livestream, workshop, or special event again!
Upcoming events
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27 Feb
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/
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/
27 Feb
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
https://us06web.zoom.us/j/81650728939
02 Mar
02 Mar
Rendering and Visualizing USD Scenes | OpenUSD Community Office Hour
Monday 2 March ⋅ 19:00 – 20:00 (UTC)
Join us as we kick off the path to OpenUSD Certification with weekly OpenUSD Community Office Hours leading up to NVIDIA GTC 2026. Each session highlights a core component of the certification exam, giving you the opportunity to learn, ask questions, and engage with the community.
This week, discover techniques for efficiently rendering and visualizing complex USD scenes.
Presented by community member Borja Mayoral Arauz.
This week, discover techniques for efficiently rendering and visualizing complex USD scenes.
Presented by community member Borja Mayoral Arauz.
https://www.youtube.com/watch?v=-6x8fuYVBPk
03 Mar
03 Mar
Ask Me Anything: NVIDIA Cosmos Cookoff AMA: Unblock, Debug, Submit
Tuesday 3 March ⋅ 17:00 – 18:00 (UTC)
Join us for a live Cosmos Cookoff Ask Me Anything (AMA), where you can bring your in-progress ideas, roadblocks, and questions about building with NVIDIA Cosmos.
Experts from Nebius and NVIDIA will answer your questions about using Cosmos Reason 2 and Cosmos Cookbook recipes to build and refine physical AI projects, including robotics, autonomous systems, and vision AI agents.
You will also get practical tips on debugging, evaluation, and preparing your submission for the Cosmos Cookoff.
How to Participate:
Pro tip: The more specific your question, the more detailed the answer you’ll get!
Experts from Nebius and NVIDIA will answer your questions about using Cosmos Reason 2 and Cosmos Cookbook recipes to build and refine physical AI projects, including robotics, autonomous systems, and vision AI agents.
You will also get practical tips on debugging, evaluation, and preparing your submission for the Cosmos Cookoff.
How to Participate:
- Post your questions in the #cosmos-cookoff-ama-2026-03-03 channel on Discord at least one day before the event.
- Browse through the questions and upvote the ones you want answered using the 💚 emoji.
- Join us live 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!
https://discord.com/invite/nvidiaomniverse
03 Mar
03 Mar
[NALA - Virtual] Physical AI: Building High-Fidelity Digital Twins with Matterix
3 Mar 2026, 23:00 ‧ 4 Mar 2026, 1:00 (UTC)
How do we move beyond standard simulation to create high-fidelity digital twins that truly mirror the real world?
Simulation is critical for modern robotics, but the "sim-to-real" gap remains a significant bottleneck, especially in complex environments involving fluids, deformable objects, and chemical processes.
Join the Canadian Physical AI Institute (CPAI) for an exclusive session with Kourosh Darvish, Staff Scientist at the University of Toronto, as we explore Matterix—a new multi-scale, GPU-accelerated simulation framework designed to create high-fidelity digital twins.
While originally developed for chemistry laboratory automation and self-driving labs, the concepts covered are broadly applicable to robotics domains requiring complex manipulation and perception.
🚀 What You Will Learn
This session is designed to provide both a "behind-the-scenes" look at real research projects and a practical walkthrough of key concepts.
Simulation is critical for modern robotics, but the "sim-to-real" gap remains a significant bottleneck, especially in complex environments involving fluids, deformable objects, and chemical processes.
Join the Canadian Physical AI Institute (CPAI) for an exclusive session with Kourosh Darvish, Staff Scientist at the University of Toronto, as we explore Matterix—a new multi-scale, GPU-accelerated simulation framework designed to create high-fidelity digital twins.
While originally developed for chemistry laboratory automation and self-driving labs, the concepts covered are broadly applicable to robotics domains requiring complex manipulation and perception.
🚀 What You Will Learn
This session is designed to provide both a "behind-the-scenes" look at real research projects and a practical walkthrough of key concepts.
- Introduction to Matterix: Discover a framework built on NVIDIA Isaac Sim and Isaac Lab that integrates realistic physics and photorealistic rendering with a modular, GPU-accelerated semantics engine.
- Multi-Scale Modeling: Learn how to simulate beyond simple rigid bodies, including powder and liquid dynamics, device functionalities, heat transfer, and chemical reaction kinetics.
- Hybrid Intelligence: Explore how to model both logical states and continuous behaviors to represent workflows across multiple levels of abstraction.
- Digital Twin Value: Gain a clear view of where digital twins add value, specifically in policy training, workflow development, system co-design, and safety analysis
- Real-World Tradeoffs: An honest discussion on when simulation works well, when it breaks down, and how to navigate those tradeoffs in real projects.
https://luma.com/tp20xcls
04 Mar
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
----------------------------------------------------------------------------
⬇️Get Started → https://nvda.ws/4cZAZO1
👀Explore OpenUSD → https://nvda.ws/3CeozBQ
👥Join the Community → https://nvda.ws/3ZMfc6e
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
----------------------------------------------------------------------------
⬇️Get Started → https://nvda.ws/4cZAZO1
👀Explore OpenUSD → https://nvda.ws/3CeozBQ
👥Join the Community → https://nvda.ws/3ZMfc6e
04 Mar
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.
https://discord.gg/H3GkM3WwRK
06 Mar
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/
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/
06 Mar
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
https://us06web.zoom.us/j/81650728939
11 Mar
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
----------------------------------------------------------------------------
⬇️Get Started → https://nvda.ws/4cZAZO1
👀Explore OpenUSD → https://nvda.ws/3CeozBQ
👥Join the Community → https://nvda.ws/3ZMfc6e
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
----------------------------------------------------------------------------
⬇️Get Started → https://nvda.ws/4cZAZO1
👀Explore OpenUSD → https://nvda.ws/3CeozBQ
👥Join the Community → https://nvda.ws/3ZMfc6e