Octo is a transformer-based diffusion policy that serves as a generalist robot policy. It processes multiple RGB camera inputs and can be controlled via language commands or goal images to generate actions for various robot arms. The model uses a modular attention structure in its transformer backbone, enabling effective finetuning to new robot setups with different sensory inputs, action spaces, and morphologies using limited target domain data.