This repository implements RT1 (Robotic Transformer) from Google Robotics in PyTorch. The model takes video frames and natural language instructions as input and outputs robot actions for real-world control tasks. It uses a MaxViT backbone with cross-attention conditioning and supports classifier-free guidance during inference. The architecture processes sequences of video frames combined with text instructions to generate motor actions.