# 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

![Unitree G1 humanoid robot placing an apple on a plate](images/apple_to_plate.gif)

**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<br />
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**Time:** 4-12 hours<br />
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**Key Skills:** NVIDIA Isaac GR00T, Isaac Lab-Arena, Isaac Teleop, Isaac ROS, Jetson Thor, Unitree G1

[Start Learning](https://docs.nvidia.com/learning/physical-ai/gr00t-e2e-workflow/latest/index.html)

![](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-sim/latest/_images/isaac-sim-sil-hil.png)

**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<br />
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**Time:** 2-3 hours<br />
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**Key Skills:** Physics simulation, sensor integration, environment setup

[Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-sim/latest/index.html)

![Isaac ROS](images/IsaacROS.png)

**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<br />
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**Time:** 2-3 hours<br />
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**Key Skills:** ROS 2, NITROS acceleration, production robotics

[Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-ros/latest/index.html)

![](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-lab/latest/_images/hands-exchanging-sphere.gif)

**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<br />
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**Time:** 3-4 hours<br />
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**Key Skills:** Reinforcement learning, GPU acceleration, policy training

[Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-lab/latest/index.html)

![SO-101 vial to rack task](images/so101_vial_to_rack_task.gif)

**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<br />
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**Time:** 6-10 hours<br />
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**Key Skills:** NVIDIA Isaac Lab, NVIDIA GR00T, LeRobot by Hugging Face, Cosmos, sim-to-real transfer principles

[Start Learning](https://docs.nvidia.com/learning/physical-ai/sim-to-real-so-101/latest/index.html)

![Seeed reBot arm running a sim-to-real VLA pipeline](images/seeed_rebot_arm.gif)

Partner Content

**Learning Physical AI: A Sim-to-Real VLA Pipeline with Seeed reBot Arm and NVIDIA Isaac**

An end-to-end, hands-on curriculum for Physical AI, guiding developers through Hugging Face LeRobot teleoperation with the reBot robotic arm, NVIDIA Isaac Sim digital twin emulation, Cosmos Transfer scene augmentation, Isaac GR00T VLA fine-tuning, and real-time NVIDIA Jetson edge deployment.

**Level:** Intermediate<br />
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**Time:** 20+ hours<br />
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**Key Skills:** NVIDIA Isaac GR00T, Isaac Sim, LeRobot by Hugging Face, Seeed reBot Arm, Jetson Thor

[Start Learning](https://www.seeedstudio.com/sim-to-real-with-seeed-rebot-and-nvidia-isaac)

![](https://docs.nvidia.com/learning/physical-ai/going-further-with-robotics/latest/_images/isim_5.0_full_tut_gui_rl_ros_controller_5.gif)

**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<br />
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**Time:** 4-5 hours<br />
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**Key Skills:** USD interoperability, asset optimization, enterprise deployment

[Start Learning](https://docs.nvidia.com/learning/physical-ai/going-further-with-robotics/latest/index.html)

![Isaac Healthcare](images/Healthcare1.gif)

**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<br />
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**Time:** 3-4 hours<br />
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**Key Skills:** Healthcare-specific robotics, safety protocols, domain adaptation

[Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-for-healthcare/latest/index.html)