NVIDIA Omniverse Community

This session will deep dive into NVIDIA Isaac Sim, demonstrating its capabilities for creating realistic virtual environments, simulating robot behaviors, and generating synthetic data for AI model training. It will highlight the "sim-to-real" paradigm crucial for efficient robotics development.

Key Topics:

• Introduction to Robotics Simulation
• NVIDIA Isaac Sim Features and Workflow:
  • Realistic Physics Simulation
  • Sensor Simulation
  • Robot Models and Environments
• Robot Learning with Isaac Lab
  • Training a robotics Reinforcement Learning policy

Speakers:

• Edith Llontop, Technical Marketing Engineer - Robotics and Isaac, NVIDIA

Register Here: Link

 Join us for the robotics office hours, where we'll be talking about the Cosmos Cookbook and a tutorial on using Cosmos Transfer. The Cosmos Cookbook is a resource for the Physical AI community to share examples of Cosmos applications for robotics and autonomous systems. In this session, we'll be diving into a tutorial on tuning multiple control modalities while using the Cosmos Transfer model.

Whether you’re building autonomous robots, training embodied agents, or just getting started, this series is your chance to stay informed, ask questions, and connect directly with the community shaping the future of robotics.

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

Review/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.

As Physical AI gains momentum, edge computing is becoming increasingly critical for bringing intelligence directly to robots, devices, and real-world applications. This livestream invites developers to explore this expanding frontier by experimenting with open-source models on NVIDIA Jetson, unlocking capabilities ranging from private coding companions to autonomous robots.  

What will you will learn: 

• Learn to set up and run open-source models (LLM, VLM, GR00T)  on NVIDIA Jetson devices.
• Understand how embodied intelligence enables real-time, on-device interaction.

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.
Wenn du dabei sein möchtest, schreibe bitte NVIDIA Omniverse Ambassador Michael Wagner für weitere Informationen an: https://www.linkedin.com/in/michael-wagner-64873328/

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

This session will focus on the practical deployment of AI models onto physical robots using the NVIDIA Jetson platform. It will cover the software stack, development workflows, and real-world applications of edge AI in robotics.

Key Topics:

• The Need for Edge AI in Robotics
• NVIDIA Jetson Deep Dive
  • JetPack SDK
  • Isaac ROS
• Optimizing AI Models for Edge Deployment
• Real-World Robotics Projects and Case Studies
• Best Practices for Edge Deployment

Speakers:

• Maycon da Silva Carvalho, Sr. Solution Architect, NVIDIA

Register Here: Link

This concluding session will translate the series into a practical research playbook—how to stand up the NVIDIA “three computers” for robotics (train, simulate, deploy), choose the right hardware/software for your lab, and move from ideas to repeatable experiments. You’ll see concise demos of Isaac-based workflows and leave with starter configs, optimization tips, and resources your faculty/students can use immediately.

Key Topics:

• Training Compute & Data Pipelines
• Simulation, Robot Learning, & Synthetic Data
• Edge Deployment on Jetson/IGX
• Lab Starter Configs & Resources

Speakers:

• Tim Woodard, Sr. Solution Architecture Manager for RTX PRO and Edge, NVIDIA
• Yan Chang, Senior Engineering Manager | Principal Engineer, Isaac Loco-manipulation Team, NVIDIA

Register Here: Link

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.
Wenn du dabei sein möchtest, schreibe bitte NVIDIA Omniverse Ambassador Michael Wagner für weitere Informationen an: https://www.linkedin.com/in/michael-wagner-64873328/

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