NVIDIA Physical AI Community
Stay connected with the NVIDIA Physical AI community by adding our events to your calendar! Whether virtual or in person, you can now easily keep track of all upcoming happenings. Simply select your calendar, accept the calendar subscription notice, and once accepted, all our events will automatically sync to your calendar application or mobile device. Never miss out on a livestream, workshop, or special event again!
Upcoming events
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20 May
20 May
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control | Robotics Office Hours
Wednesday 20 May ⋅ 18:00 – 19:00 (UTC)
Join NVIDIA for Robotics Office Hours, a weekly livestream designed to help developers, researchers, and enthusiasts accelerate their robotics journey with NVIDIA Isaac Sim and Isaac Lab, powerful frameworks for robotics simulation, reinforcement learning, and Physical AI development built on NVIDIA Omniverse.
In this episode, we explore SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control, a new NVIDIA Research framework for training humanoid robots using large-scale human motion data and reinforcement learning in Isaac Lab. Learn how SONIC enables natural whole-body humanoid control across locomotion, crawling, manipulation, teleoperation, and multi-modal robot behaviors through a unified policy.
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
In this episode, we explore SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control, a new NVIDIA Research framework for training humanoid robots using large-scale human motion data and reinforcement learning in Isaac Lab. Learn how SONIC enables natural whole-body humanoid control across locomotion, crawling, manipulation, teleoperation, and multi-modal robot behaviors through a unified policy.
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
https://www.youtube.com/watch?v=-3lYps6KN-k
21 May
21 May
[NALA - In-Person] Google Cloud and NVIDIA Meet Up & 1 Year Celebration
Thursday 21 May ⋅ 00:30 – 3:00 (UTC)
The Google Cloud and NVIDIA Meet-Up
Join Google Cloud and NVIDIA for an evening dedicated to the developers, builders and visionaries shaping the next era of technology.
Your chance to see the synergy of Google’s cloud ecosystem and NVIDIA’s cutting-edge hardware in action.
We’ll have food and drink with open demos centered on Gemma, Cloud Run with GPUs, ADK, Nemotron, and Physical AI.
What to Expect
Mountain View, CA - Register for the exact location.
️
Secure Your Spot
We are prioritizing community members, active builders and developers for this meet-up.
Join Google Cloud and NVIDIA for an evening dedicated to the developers, builders and visionaries shaping the next era of technology.
Your chance to see the synergy of Google’s cloud ecosystem and NVIDIA’s cutting-edge hardware in action.
We’ll have food and drink with open demos centered on Gemma, Cloud Run with GPUs, ADK, Nemotron, and Physical AI.
What to Expect
- Live Interactive Demos: Experience the power of the partnership firsthand. Get real-world applications and see how you can solve complex challenges with Google Cloud and NVIDIA products.
- Networking: Connect with peers, GDEs, and leaders from both Google and NVIDIA to discuss implementation strategies, bottlenecks, and the future of the stack.
- 5:30 PM | Arrive, Check-in & Connect
- 6:00 PM | Opening Remarks - The vision of Google Cloud and NVIDIA; celebration of 1 year of the joint developer community.
- 6:15 PM | Demo Overview – Preview of demo showcase.
- 6:30-8:00 PM | Demo Showcase & Networking – Deep conversations over drinks, food and demos.
Mountain View, CA - Register for the exact location.
️
Secure Your Spot
We are prioritizing community members, active builders and developers for this meet-up.
- Register: https://luma.com/GoogleNVIDIA
Mountain View, CA
22 May
Apply agentic AI to real classroom workflows by building a persistent course assistant that helps students understand materials and reduces repetitive questions for instructors. In this session, learn how to give an AI agent/ claw access to course content so it can read, understand, and answer questions about the class.
Instead of a generic chatbot, you’ll create an agent with claws that understands the specific context of a course— syllabus, lecture materials, and policies—so it can provide accurate responses and summaries.
Speakers:
This virtual learning series offers a hands-on journey through NVIDIA’s agentic AI innovations. Whether you’re a student, professor, researcher, or early career developer, these sessions will equip you with the essential tools and insights to master the next step in AI evolution. The program moves beyond traditional chatbots to explore the design and deployment of autonomous, goal-driven agents known as “claws.”
Participants can expect technical deep dives into building agents that can plan, reason, and act. These sessions cover everything from creating personalized academic planners and system-aware research assistants to orchestrating collaborative multi-agent teams. Utilizing the NVIDIA® NemoClaw™ and OpenShell™ software stack, the series provides practical guidance on integrating agents with academic datasets and course materials to enhance research productivity and classroom workflows. While an NVIDIA DGX Spark™ is strongly recommended to fully replicate the hands-on projects, no specialized hardware is required to follow along with the Virtual Learning Series.
View Full Agenda
Registration Required: Link
Instead of a generic chatbot, you’ll create an agent with claws that understands the specific context of a course— syllabus, lecture materials, and policies—so it can provide accurate responses and summaries.
Speakers:
- Zenodia Charpy, Sr. Deep Learning Data Scientist, EMEA NVIDIA AI Technology Center (NVAITC)
- Syed Hussaini, Hardware Design Engineer, NVIDIA
This virtual learning series offers a hands-on journey through NVIDIA’s agentic AI innovations. Whether you’re a student, professor, researcher, or early career developer, these sessions will equip you with the essential tools and insights to master the next step in AI evolution. The program moves beyond traditional chatbots to explore the design and deployment of autonomous, goal-driven agents known as “claws.”
Participants can expect technical deep dives into building agents that can plan, reason, and act. These sessions cover everything from creating personalized academic planners and system-aware research assistants to orchestrating collaborative multi-agent teams. Utilizing the NVIDIA® NemoClaw™ and OpenShell™ software stack, the series provides practical guidance on integrating agents with academic datasets and course materials to enhance research productivity and classroom workflows. While an NVIDIA DGX Spark™ is strongly recommended to fully replicate the hands-on projects, no specialized hardware is required to follow along with the Virtual Learning Series.
View Full Agenda
Registration Required: Link
https://www.nvidia.com/en-us/events/build-it-yourself-agentic-ai/?ncid=so-nvsh-882891
22 May
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/
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/
22 May
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
https://us06web.zoom.us/j/81650728939
22 May
Apply agentic AI to real classroom workflows by building a persistent course assistant that helps students understand materials and reduces repetitive questions for instructors. In this session, learn how to give an AI agent/ claw access to course content so it can read, understand, and answer questions about the class.
Instead of a generic chatbot, you’ll create an agent with claws that understands the specific context of a course— syllabus, lecture materials, and policies—so it can provide accurate responses and summaries.
Speakers:
This virtual learning series offers a hands-on journey through NVIDIA’s agentic AI innovations. Whether you’re a student, professor, researcher, or early career developer, these sessions will equip you with the essential tools and insights to master the next step in AI evolution. The program moves beyond traditional chatbots to explore the design and deployment of autonomous, goal-driven agents known as “claws.”
Participants can expect technical deep dives into building agents that can plan, reason, and act. These sessions cover everything from creating personalized academic planners and system-aware research assistants to orchestrating collaborative multi-agent teams. Utilizing the NVIDIA® NemoClaw™ and OpenShell™ software stack, the series provides practical guidance on integrating agents with academic datasets and course materials to enhance research productivity and classroom workflows. While an NVIDIA DGX Spark™ is strongly recommended to fully replicate the hands-on projects, no specialized hardware is required to follow along with the Virtual Learning Series.
View Full Agenda
Registration Required: Link
Instead of a generic chatbot, you’ll create an agent with claws that understands the specific context of a course— syllabus, lecture materials, and policies—so it can provide accurate responses and summaries.
Speakers:
- Zenodia Charpy, Sr. Deep Learning Data Scientist, EMEA NVIDIA AI Technology Center (NVAITC)
- Syed Hussaini, Hardware Design Engineer, NVIDIA
This virtual learning series offers a hands-on journey through NVIDIA’s agentic AI innovations. Whether you’re a student, professor, researcher, or early career developer, these sessions will equip you with the essential tools and insights to master the next step in AI evolution. The program moves beyond traditional chatbots to explore the design and deployment of autonomous, goal-driven agents known as “claws.”
Participants can expect technical deep dives into building agents that can plan, reason, and act. These sessions cover everything from creating personalized academic planners and system-aware research assistants to orchestrating collaborative multi-agent teams. Utilizing the NVIDIA® NemoClaw™ and OpenShell™ software stack, the series provides practical guidance on integrating agents with academic datasets and course materials to enhance research productivity and classroom workflows. While an NVIDIA DGX Spark™ is strongly recommended to fully replicate the hands-on projects, no specialized hardware is required to follow along with the Virtual Learning Series.
View Full Agenda
Registration Required: Link
https://www.nvidia.com/en-us/events/build-it-yourself-agentic-ai/?ncid=so-nvsh-882891
27 May
🤖 Solo Seven — Boston Robotics Group
Physical AI Workshop & Showcase
Build intelligence that acts in the real world.
This session is part of Solo Seven — a global initiative to discover and train the next generation of Physical AI builders.
We’re bringing together students, engineers, and researchers to go beyond models and into systems that perceive, reason, and act on real hardware.
--------------------------------------
⚡ What You’ll Experience
🧠 Hour 1 — Introduction to Physical AI
🎯 Who Should Attend
Physical AI Workshop & Showcase
Build intelligence that acts in the real world.
This session is part of Solo Seven — a global initiative to discover and train the next generation of Physical AI builders.
We’re bringing together students, engineers, and researchers to go beyond models and into systems that perceive, reason, and act on real hardware.
--------------------------------------
⚡ What You’ll Experience
🧠 Hour 1 — Introduction to Physical AI
- What is Physical AI (beyond LLMs and agents)
- How intelligence moves from software → real-world systems
- Key stacks: perception, reasoning, control, deployment
- Real examples from robotics, automation, and edge systems
- Hands-on walkthrough of building a Physical AI pipeline
- Using Solo Tech stack for:
- Data capture
- Model training
- On-device deployment
- Live system breakdown: from input → action loop
- Understanding model behavior
- Exploring deployment constraints
- Running inference workflows
- Live demos of Physical AI systems
- Student + builder showcases
- Open floor for experimentation and feedback
- Discussion on scaling projects to real-world applications
🎯 Who Should Attend
- Students in AI, Robotics, ECE, CS
- Builders working on real-world systems
- Anyone interested in moving beyond software into embodied intelligence
27 May
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
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
29 May
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/
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/
29 May
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
https://us06web.zoom.us/j/81650728939