Simulation & Physical AI

Learn the basic concepts, implementations, and applications of graph neural networks (GNN) with hands-on interactive activities so that you can get started using GNN as a graph analysis tool.

To build applications from scratch, NVIDIA offers Omniverse Kit SDK and free templates to build starter applications that can be easily customized and extended.

Take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines, with applications in creative content generation, data augmentation, simulation and planning, anomaly detection, drug discovery, personalized recommendations, and more.

The NVIDIA Omniverse platform provides developers with SDKs, APIs, and microservices for developing OpenUSD-based workflows and applications that enable industrial-scale 3D digital twins, from planning to simulation and operations.

In this introductory level training lab, we will cover the fundamentals of working with Universal Scene Description (OpenUSD) - an open and extensible ecosystem for describing, composing, simulating, and collaborating within 3D worlds.

Build a simple Python extension with this introductory course.

Build foundational skills in robotics simulation and control with Isaac Sim, the first step in the Isaac Sim Learning Path.

Learn to import robotic assets, add sensors, and run simple simulations.

Learn to train and deploy perception models using synthetic data generation (SDG), applying domain randomization and simulation for real-world robotics.

Learn the fundamentals of Software in the Loop (SIL) using NVIDIA Isaac Sim and ROS 2 to test, validate, and develop robotics software in simulated environments.

Bridge the gap between simulation and real-world robotics using ROS 2, Isaac Sim, and NVIDIA Jetson with HIL.

An introduction to autonomous robots and robotic systems.

Assemble a virtual environment with robots and simulate and validate their basic movements with ROS (Robot Operating System) commands.

Learn how to accelerate ROS 2 workloads using NVIDIA’s latest GPU-powered libraries for AI and robotics.

Gain hands-on experience with Cosmos WFMs and tools to generate data to train physical AI.

A hands-on guide to creating, deploying, and extending 3D digital twin applications using NVIDIA Omniverse.

Accelerate your robotics innovation with this hands-on workshop focused on simulation-first development, AI-powered perception, and synthetic data generation using NVIDIA Isaac.

Introducing reinforcement learning for robotics with Isaac Lab.

Going further with reinforcement learning for robotics with Isaac Lab.

Accelerate external aerodynamics simulations using NVIDIA's PhysicsNeMo library.

Build an Omniverse extension that transforms natural language into realistic 3D materials.

Data engineering for physical AI.