NVIDIA Physical AI Community

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.

Physical AI is no longer a research concept — it's reshaping how industries operate, how care is delivered, and how the physical world is automated at scale. This session showcases two pioneering startups, Bedrock Robotics and Diligent Robotics, whose work is redefining what's possible at the intersection of AI, robotics, and real-world deployment.

Developed through the  Physical AI Fellowship — the first of its kind accelerator launched by the AWS Generative AI Innovation Center in partnership with NVIDIA and MassRobotics to accelerate innovation at the frontier of AI and robotics — these companies tackled some of the hardest challenges in their industries. From autonomous construction site intelligence to hospital robot assistants that free clinical staff to focus on patient care, their solutions demonstrate what safe, reliable, and production-ready Physical AI looks like in practice.

Join us to explore the real-world architectures, technical breakthroughs, and business outcomes behind these deployments — and learn how AWS and NVIDIA are partnering with the world's most ambitious robotics startups to bring Physical AI from prototype to production.

You'll walk away with:

• Real-world Physical AI use cases across construction and healthcare
• Technical and architectural insights from production deployments
• A framework for evaluating Physical AI readiness in your own industry

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

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

Building safe and scalable L4 autonomous vehicles relies on rigorous engineering, independent verification, and a cohesive safety framework. NVIDIA DRIVE AV’s L4 Safety Management System (SMS) has been independently assessed by TÜV Rheinland, validating NVIDIA’s safety-first approach to autonomous vehicle development. 

Join us for a deep-dive on the NVIDIA Safety Management System and why it is the foundation for L4 AV safety assessment. 

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 

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/