Isaac Sim - Synthetic Data Pipeline Part 2: Domain Randomization

In this video you will learn, how to add domain randomization to your simulation environment in ISAAC Sim. Domain Randomization varies the parameters that define a scene in the simulation environment. Some of the parameters include the pose, scale of various objects in a scene, the lighting of the simulated environment, the appearance of simulated objects via their color and texture properties and so on. One of the main objectives of domain randomization is to enhance the training of deep learning applications by exposing the neural network to wide variety of domain parameters in simulation which will help to generalize well to real world applications. For additional information, also refer to the documentation here - https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/ext_omni_isaac_dr.html