Robotics

Build and train a classification data set and model with the NVIDIA Jetson Nano.

Build and train a classification data set and model with the NVIDIA Jetson Nano.

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.

Build, deploy, and scale domain-agnostic AI-enabled sensor processing applications.

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.

This course provides a practical, end-to-end guide to building, training, and deploying autonomous medical robots using NVIDIA’s Isaac Sim and Isaac for Healthcare.

Data engineering for physical AI.