This session is part of a series to learn how to build a digital twin in NVIDIA Omniverse. After aggregating 3D datasets to simulate your complete industrial environment, you'll need to bring in the robots. We'll walk through the process of building a digital twin of your autonomous mobile robot (AMR). We'll cover how one imports the robot from CAD/URDF and rigs the robot so that it moves in simulation just as it moves in the real world. We'll also add the sensors (lidar/cameras) and then connect to Robot Operating System so that you can exercise the navigation stack in the digital twin. Finally, we'll show how the digital twin can be used to generate synthetic datasets that can be used to train the robot’s perception models. Check out "How to Build a Digital Twin: Full-Design Fidelity Visualization and Aggregation of 3D Data" to learn the previous step.