NVIDIA Physical AI Community

Building and deploying Vision AI applications can be complex, requiring expertise across video pipelines, model integration, and performance optimization. In this livestream, we explore how NVIDIA DeepStream, combined with powerful coding agents such as Claude Code, to generate complete vision AI pipelines from simple natural language prompts, reducing development cycles from weeks to hours.

​You'll learn how to:

• Build production-grade vision AI applications with Claude Code, a leading AI-powered coding agent for generating code. 
• Turn video into intelligence using vision-language models for real-time summarization and deeper insights.
• Dynamically scale with evolving camera streams and plug in advanced analytics like counting and behavior tracking.
• Convert vision applications into cloud-native microservices for flexible, enterprise-scale deployment.

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

🎙️ Meet our speakers:🔹 Petar Tesic & Oliver Petrovic – RWTH Aachen

This presentation explores how NVIDIA Isaac Sim and NVIDIA Omniverse are used at the WZL Aachen to advance robotics and computer vision. Petar and Oliver demonstrate how synthetic data generation with Isaac Replicator enables robust defect detection and pose estimation by leveraging photorealistic rendering and domain randomization, allowing vision models to be trained entirely on synthetic data while achieving reliable sim-to-real transfer.

🔍 Additionally, the talk highlights the integration of Isaac Sim extensions such as Cortex, Isaac Lab, and Isaac Replicator for robot-based, contact-rich assembly tasks. They discuss how policies learned in simulation can be successfully transferred to real-world applications using domain randomization. Finally, insights into testing humanoid robots and robotic hands in simulation are provided, including teleoperation and data augmentation strategies for improving performance in complex manipulation scenarios.

Reserve a spot: https://www.eventbrite.de/e/april-version-to-all-omniverse-pioneers-tickets-1986632838298?aff=oddtdtcreator

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.

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

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 

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.