Unity is supporting ROS 2 due to “significant advancements and support of more hardware drivers, networking modules, communication architecture, and several robot algorithms.”

Training data is collected in Unity and used to train a deep neural network that predicts the pose of a cube. This model is then deployed in a simulated robot pick-and-place task.