Robotics#
Build robots that perceive, learn, and act in the real world. These self-paced courses cover the NVIDIA robotics stack, from simulation in Isaac Sim through policy training in Isaac Lab, ROS 2 deployment with Isaac ROS, sim-to-real workflows, enterprise asset pipelines, and healthcare robotics.
Pick a starting point below, or follow the courses in order to move from simulation to deployment.
Courses#
How to Develop and Deploy Humanoid Robots End-to-End with NVIDIA Isaac GR00T and Unitree G1
Humanoid robots are uniquely suited to operate in environments built for people, including reaching across tables and grasping everyday objects. This course introduces the GR00T reference workflow: a validated, open, and reproducible sim-first to deployment workflow for Unitree G1 manipulation policy learning with Jetson Thor.
Level: Intermediate
Time: 4-12 hours
Key Skills: NVIDIA Isaac GR00T, Isaac Lab-Arena, Isaac Teleop, Isaac ROS, Jetson Thor, Unitree G1
Getting Started With Isaac Sim
Explore the NVIDIA Isaac Sim interface. Build a robot from scratch, configure physics properties, add sensors, and run your first simulation.
Level: Beginner
Time: 2-3 hours
Key Skills: Physics simulation, sensor integration, environment setup
Getting Started With Isaac ROS
Accelerate ROS 2 development with NVIDIA Isaac ROS GEMs and NITROS for production-grade perception and navigation systems. Deploy AI policies on real hardware with real-time constraints.
Level: Intermediate
Time: 2-3 hours
Key Skills: ROS 2, NITROS acceleration, production robotics
Getting Started With Isaac Lab
Dive into reinforcement learning and GPU-accelerated training. Understand how NVIDIA Isaac Lab trains thousands of robots in parallel, achieving convergence in hours instead of days.
Level: Intermediate
Time: 3-4 hours
Key Skills: Reinforcement learning, GPU acceleration, policy training
Train an SO-101 Robot From Sim-to-Real With NVIDIA Isaac
Explore a complete sim-to-real workflow using the SO-101 arm and an affordable physical workspace you can build yourself. Configure and calibrate the robot, then perform demonstrations to post-train a GR00T policy for centrifuge vial pick-and-place. Evaluate with Isaac Lab and deploy to real hardware.
Level: Intermediate
Time: 6-10 hours
Key Skills: NVIDIA Isaac Lab, NVIDIA GR00T, LeRobot by Hugging Face, Cosmos, sim-to-real transfer principles
Going Further With Robotics
Develop OpenUSD interoperability skills. Convert URDF to USD, optimize robotic assets, and build enterprise-grade digital twins that scale to complex multi-robot systems.
Level: Advanced
Time: 4-5 hours
Key Skills: USD interoperability, asset optimization, enterprise deployment
Getting Started With Isaac for Healthcare
Explore robotics applications in healthcare environments. Learn safety-critical system design, regulatory considerations, and healthcare-specific sensor integration approaches.
Level: Intermediate
Time: 3-4 hours
Key Skills: Healthcare-specific robotics, safety protocols, domain adaptation