NVIDIA Webinar
NVIDIA Robotics Virtual Learning Series: From Simulation to Reality
Virtual training to equip you with essential insights and tools to advance your robotics expertise
This virtual learning series offers a hands-on journey through NVIDIA’s robotics innovations, from foundational intelligence and autonomous systems to cutting-edge simulation and deployment at the edge.
Participants can expect deep dives into realistic robot simulation with Isaac Sim, practical guidance on deploying AI with Jetson platforms, and forward-looking discussions on generative AI, humanoids, and safe human-robot collaboration—all powered by NVIDIA’s ecosystem.
Whether you’re a professor, student, developer, researcher, or enthusiast, these sessions will equip you with essential insights and tools to advance your robotics expertise in today’s rapidly evolving landscape.
Agenda
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December 2
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December 9
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December 12
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December 16
9:00 a.m. - 10:00 a.m. PT
6:00 p.m. - 7:00 p.m. CET
Introduction to Physical AI & Robotics at NVIDIA
This session will provide a high-level overview of NVIDIA's comprehensive approach to robotics, emphasizing how our open models, frameworks, libraries and hardware are empowering developers to build intelligent and autonomous systems. Attendees will learn about the fundamental components of NVIDIA's robotics ecosystem.
Key Topics:
- Introduction to Physical AI in Robotics
- NVIDIA's Vision for Robotics
- Overview of NVIDIA’s’ Robotics software and hardware offerings: Robotics:
- Open Models
- Synthetic data generation pipelines
- Simulation and learning frameworks
- On-robot runtime computer
Speakers:
- Kalyan Vadrevu, Product Marketing - AI/Robotics, NVIDIA
9:00 a.m. - 10:00 a.m. PT
6:00 p.m. - 7:00 p.m. CET
Sim-to-Real: Accelerating Robotics Development with NVIDIA Isaac Sim
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
9:00 a.m. - 10:00 a.m. PT
6:00 p.m. - 7:00 p.m. CET
Edge AI for Autonomous Machines: Powering Robots with NVIDIA Jetson
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
9:00 a.m. - 10:00 a.m. PT
6:00 p.m. - 7:00 p.m. CET
Accelerate Your Robotics Research with NVIDIA
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
