Data Augmentation | Runway Robotics

What this post added

Introduces Data Augmentation capabilities for GWM-1, enabling the generation of diverse training data through photorealistic variations of existing robot trajectories. This includes video-to-video generation (changing environments, lighting, obstacles while preserving action sequences) and image-to-video generation (creating full trajectories from a single frame and text prompt). The goal is to expand the training distribution without collecting more physical data.