7 open-source projects similar to eo-robotics/eo1, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best EO Robotics EO1 alternative.
\[📄Paper\](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
OpenPi is a vision-language-action robot control framework designed to generate physical control actions for robotic systems. It functions as a distributed robot model trainer, a model format converter, and a robot action streaming server. The framework provides tools for transforming model checkpoints between different framework formats to ensure interoperability across various development environments. It also includes a server that uses websocket connections to stream model-generated control actions from remote inference servers to physical robot hardware in real-time. The system supports
jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti