Adds section for Sim2Real resources with available/open-source code

docs/source/policy_deployment/index.rst

@@ -9,3 +9,35 @@ 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 extension for Isaac Lab that trains RL reach-task
+    policies on Kinova Gen3 and runs them in simulation or on
+    the real arm via a minimal ROS 2 sim-to-real interface -
+    `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/>`_