Building Generalist Robotics Policies from Scratch
Dive into a comprehensive video tutorial on building Generalist Robotics Policies from scratch. Learn how to implement the "Octo: An Open-Source Generalist Robot Policy" model step-by-step, starting with basic transformer code and progressing to training the model using data from the open-x embodiment dataset. Explore topics such as data exploration, dataset creation, transformer encoder implementation, image patch tokenization, and Vision Transformer (ViT) construction. Discover techniques for incorporating text inputs, handling continuous and discrete actions, standardizing state inputs and action spaces, and integrating goal images into the transformer architecture. Gain insights into scaling training processes, analyzing results across A100 GPUs, and evaluating the model using the SimpleEnv robotics simulator. Access accompanying code, project details, and additional resources to enhance your understanding of Generalist Robotics Policies and their applications in the field of robotics. Read more