Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

Official implementation of "OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning"

GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.

[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., pi0, pi0.5. Fully open-sourced.

This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementations.

Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence

Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence