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40 changes: 40 additions & 0 deletions docs/source/policy_deployment/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -9,3 +9,43 @@ Below, you’ll find detailed examples of various policies for training and depl
:maxdepth: 1

00_hover/hover_policy


Resources with Available/Open-Source Code
-----------------------------------------

Explore these external resources featuring practical implementations with available/open-source code:

- **Deploying Policies in Isaac Sim**
Step-by-step guide to deploying exported RL
policies trained in Isaac Lab, covering demos for
Unitree H1 and Boston Dynamics Spot and sim-to-real
considerations -
`Tutorial in Isaac Sim Documentation <https://docs.isaacsim.omniverse.nvidia.com/latest/isaac_lab_tutorials/tutorial_policy_deployment.html>`_

- **Closing the Sim-to-Real Gap: Training Spot Quadruped Locomotion with NVIDIA Isaac Lab**
Shows how to train a robust locomotion policy for the
Boston Dynamics Spot quadruped in Isaac Lab and deploy
it zero-shot on the real robot using NVIDIA Jetson Orin -
`Blog post on NVIDIA Technical Blog <https://developer.nvidia.com/blog/closing-the-sim-to-real-gap-training-spot-quadruped-locomotion-with-nvidia-isaac-lab/>`_

- **Kinova Gen3 RL & Sim2Real Toolkit**
Modular Isaac Lab extension to train reach-task policies
for the Kinova Gen3 arm, and deploy them on the real
robot via a minimal ROS2 interface. Includes pre-trained
models -
`Project repository on GitHub <https://github.com/louislelay/kinova_isaaclab_sim2real>`_

- **Wheeled Lab for Mobile Robots**
Demonstrates three sim-to-real RL policies (drifting,
elevation traversal, and visual navigation) for small
RC cars, all trained in Isaac Lab and tested on
low-cost hardware -
`Project website on UW Robot Learning GitHub Pages <https://uwrobotlearning.github.io/WheeledLab/>`_

- **rl_sar: Sim2Real Framework for RL**
C++/Python framework for sim and real deployment of RL
policies on quadrupeds, humanoids, and wheeled robots.
Supports ROS1/ROS2 and integrates with Isaac Lab via
`robot_lab` -
`Project repository on GitHub <https://github.com/fan-ziqi/rl_sar>`_