NVIDIA Physical AI Community

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.

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.

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 us to learn how IGX Thor’s Blackwell-powered architecture is powering autonomous robots, surgical systems, and high-performance industrial automation at the edge. NVIDIA experts will walk through the IGX Thor lineup, IGX software stack, and what’s new coming with IGX Thor. They’ll also talk about the partner ecosystem that can help you move from prototype to production faster—with the performance, durability, security, and long-term support required for mission-critical environments. 

In this webinar, you'll learn: 

• Why NVIDIA IGX Thor is the definitive platform for unifying functional safety and AI on a single, integrated system. 
• Cutting-edge AI use cases in industrial, medical, and robotics applications, where real-time performance and safety are critical. 
• How the IGX software stack accelerates AI development and shortens time to market, along with an overview of the enterprise software offerings on the IGX platform. 
• Guidance for selecting the right industrial-grade NVIDIA edge platform tailored to your specific workload and deployment environment.

You already have an application, data model, and CI/CD pipeline. This livestream shows how to bolt on physical AI using NVIDIA Omniverse libraries—ovrtx, ovphysx, and ovstorage—instead of replatforming. In under an hour, Damien Fagnou and Ashley Goldstein will live-code a small, realistic integration: loading a USD scene, stepping a deterministic physics loop, rendering RTX sensor outputs, and wiring everything into a Model Context Protocol (MCP) server that LLM agents and tools like Claude or Cursor can safely call.

You will learn:

• How to embed ovphysx and ovrtx into an existing Python microservice, with tensor IO via DLPack for RL, control, or data generation
• How ovstorage connects PLM/PDM and cloud storage directly into OpenUSD scenes without costly data migrations
• How to expose these capabilities to agentic stacks using MCP and deploy always-on agents with NemoClaw/OpenClaw-style guardrails

The session closes with a roadmap and Q&A on when to use libraries vs Omniverse Kit, how Isaac Lab is evolving on top of this modular architecture, and what to expect as physical AI becomes a first-class workload for ISVs and industrial platforms.

📆  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.

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/