EO: Open-source Unified Embodied Foundation Model Series
The main features of eo-robotics/eo1 are: Robotics Foundation Models.
Open-source alternatives to eo-robotics/eo1 include: hume-vla/hume — [\[📄Paper\]](https://arxiv.org/abs/2505.21432) [\[🔥Project Page\]](https://hume-vla.github.io/) [\[📖… fanqi-lin/onetwovla — [[Project Page]](https://one-two-vla.github.io/) [[Paper]](https://arxiv.org/abs/2505.11917) [[Processed… huggingface/lerobot — This project is a comprehensive research platform designed for the end-to-end lifecycle of robotic learning. It… spatialvla/spatialvla. nvidia/isaac-gr00t. physical-intelligence/openpi — OpenPi is a vision-language-action robot control framework designed to generate physical control actions for robotic…
\[📄Paper\](https://arxiv.org/abs/2505.21432) \[🔥Project Page\](https://hume-vla.github.io/) \[📖 Document\](#documents) \[🤗 Model Zoo\](https://huggingface.co/collections/Hume-vla/hume-model-zoo-684be6e5d062717593589a9a)
[Project Page](https://one-two-vla.github.io/) [Paper](https://arxiv.org/abs/2505.11917) [Processed Datasets](https://huggingface.co/datasets/Richard-Nai/onetwovla-dataset)
This project is a comprehensive research platform designed for the end-to-end lifecycle of robotic learning. It provides a modular framework for training neural network policies—specifically through imitation and reinforcement learning—and deploying them onto physical robotic hardware. By offering a unified interface for hardware abstraction, the platform decouples high-level control logic from the specific sensors and actuators of diverse robotic systems. The framework distinguishes itself through a standardized approach to data and policy management. It utilizes a consistent schema for reco
