Generate synthetic training data for robot perception and control models
Drift scaffolds synthetic data collection pipelines on top of generated simulations, capturing RGB, depth, segmentation masks, point clouds, joint states, and force/torque streams in standardized formats (ROS bags, parquet) for training perception and behavior-cloning models.
