NVIDIA Physical AI Community

Take the leap from local models to local agents. In this session, developers learn how to move beyond running a model and deploy a fully autonomous AI assistant on NVIDIA Jetson — no cloud required. OpenClaw provides a local AI assistant framework that connects to chat interfaces, browser-based tools, and multi-step agentic tasks. NemoClaw extends that baseline with sandboxing, inference routing, and policy controls for safer, production-ready edge deployments.

In this stream, you will learn how to move from running a local model to running a fully local autonomous agent on NVIDIA Jetson.

We'll cover:

• Building a local assistant with OpenClaw — build a full local assistant architecture that connects to chat workflows, browser-based tools, and multi-step tasks — running privately on your own hardware, 24/7.
• Why tool-calling models matter — see what changes when an AI system can take actions, use tools, and run autonomously, and what breaks when your model can't do it reliably.
• Safer local agents with NemoClaw — go further with sandboxing, onboarding, inference routing, and policy controls that make local agent deployment more structured and production-ready.
• Real-world use cases — explore what becomes possible: building dynamic browser-based games, prototyping smart computer vision apps, and running long research tasks without any cloud dependency.

Watch all three episodes on the NVIDIA Jetson AI Lab YouTube playlist here.

Join Michelle Ash, CEO of SIMULIA at Dassault Systèmes, and Neil Ashton, Distinguished Engineer at NVIDIA, for a discussion on how Dassault Systèmes and NVIDIA are bringing AI, accelerated computing, and Virtual Twin technology into engineering simulation workflows.

This livestream explores how SIMULIA AI-based Virtual Twin Physics Behavior, GPU-accelerated solvers, and Virtual Companions on the agentic 3DEXPERIENCE platform can help engineering teams predict outcomes faster, augment traditional physics-based models with AI, and automate simulation setup, execution, and optimization.
Learn how Dassault Systèmes leverages NVIDIA technologies such as CUDA-X libraries, PhysicsNeMo, and Nemotron to:

• Reduce simulation turnaround times
• Augment traditional physics-based models with AI
• Power Virtual Companions that autonomously set up, run, and optimize simulations 

Explore more resources for AI-accelerated structural analysis: 

• Learn More About NVIDIA CAE Solutions
• Read: Build AI Surrogates for Structural Mechanics

Join us for this week's Robotics Office Hours as we explore Agent Skills for NVIDIA Isaac Sim and Isaac Lab. Learn how agentic workflows simplify robotics development by accelerating simulation setup and streamlining training and evaluation workflows.

We'll demonstrate how Agent Skills can help developers build robotics applications faster, reduce repetitive work, and integrate more naturally into Isaac Sim and Isaac Lab development. As always, the session includes live demos, practical tips from NVIDIA experts, and live Q&A with the community.

Whether you're building robot simulations, training policies, or developing embodied AI applications, you'll leave with actionable techniques you can apply to your own robotics workflows.


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

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

From controlling a robot arm to running the brain behind a robot — this session bridges physical robotics and AI. We start with Gr00t 1.7, NVIDIA's foundation model for robots — what it can do, how to run it, and how to fine-tune it, with a live demo of it in action. From there, we break down ROS: what it is, how graphs and nodes work together, and how it serves as the operating system and control layer that connects everything. We then get hands-on with the SO101, showing how to deploy a model that can execute real-world tasks on your behalf. We close with a guest speaker covering the latest open-source robotics advances and community highlights.

In this stream, you will learn how to bring vision-language models into real-world physical AI applications — from model selection to robot control.

We'll cover:

• Gr00t 1.7 in depth — explore NVIDIA's foundation model for robots: what it can do, how to run it, and how to fine-tune it for your use case, with a live demo of it in action.
• ROS fundamentals and connecting the dots — learn what ROS is, how graphs and nodes work together, and how it serves as the operating system and control layer that ties your models, sensors, and actuators together.
• Hands-on with the SO101 — walk through a live example deploying a model to execute real-world tasks, putting everything together from model inference to physical actuation.
• Open-source robotics highlights — a guest speaker covers the latest advances and community highlights in open-source robotics worth knowing about.

Watch all three episodes on the NVIDIA Jetson AI Lab YouTube playlist here.

Join OpenUSD Insider to explore how developers are using OpenUSD and NVIDIA Omniverse to build the next generation of physical AI. Each livestream features practical workflows, technical deep dives, and real-world examples spanning robotics, industrial digital twins, simulation, and autonomous systems.

Hear directly from developers and industry experts, discover the latest tools and resources, and learn how OpenUSD is helping teams create the physically accurate virtual environments needed to develop, train, and test intelligent machines.

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 OpenUSD Insider to explore how developers are using OpenUSD and NVIDIA Omniverse to build the next generation of physical AI. Each livestream features practical workflows, technical deep dives, and real-world examples spanning robotics, industrial digital twins, simulation, and autonomous systems.

Hear directly from developers and industry experts, discover the latest tools and resources, and learn how OpenUSD is helping teams create the physically accurate virtual environments needed to develop, train, and test intelligent machines.

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 OpenUSD Insider to explore how developers are using OpenUSD and NVIDIA Omniverse to build the next generation of physical AI. Each livestream features practical workflows, technical deep dives, and real-world examples spanning robotics, industrial digital twins, simulation, and autonomous systems.

Hear directly from developers and industry experts, discover the latest tools and resources, and learn how OpenUSD is helping teams create the physically accurate virtual environments needed to develop, train, and test intelligent machines.

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

The NVIDIA GTC AI conference is coming to Berlin, bringing together developers, researchers, and industry leaders to go deep on AI infrastructure. Sessions will span the entire five-layer AI stack, from energy, chips, and infrastructure to open models and physical AI applications empowering every industry and organization to build AI on their own terms.

See CEO Jensen Huang's live keynote at the iconic Tempodrom, then join us at STATION-Berlin for dynamic sessions, hands-on labs, and exclusive networking.