diff --git a/README.md b/README.md index 957c891..ece404f 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,40 @@ # Wall-X -## Overview +
-Wall-X is a multimodal foundation model designed for robotics applications, combining vision, language, and action capabilities. The model architecture is built upon Qwen2.5-3B-VL with specialized adaptations for robotic control tasks. + + + Hugging Face + + + Project Page + + + +
+Python 3.10 +PyTorch +FlashAttention +LeRobot +CUDA +Ubuntu 22.04 + +
+ +## Building General-Purpose Robots Based on Embodied Foundation Model +We are building the embodied foundation model to capture and compress the world's most valuable data: the continuous, high-fidelity stream of physical interaction. + +By creating a direct feedback loop between the model's decisions and the body's lived experience, we enable the emergence of a truly generalizable intelligence—one that understands not just how the world works, but how to act effectively within it. + +## Repository +This repository provides the training and inference code that supports our WALL series open-source embodied foundation models. It includes end-to-end pipelines for data preparation (LeRobot), model configuration, flow-matching and FAST action branches, and evaluation utilities for real and simulated robots. + +## News +- We introduce [**WALL-OSS**](https://x2robot.com/en/research/68bc2cde8497d7f238dde690), an end-to-end embodied foundation model that leverages large-scale multimodal pretraining to achieve (1) embodiment-aware vision–language understanding, (2) strong language–action association, and (3) robust manipulation capability. + +## Models +- WALL-OSS-FLOW: https://huggingface.co/x-square-robot/wall-oss-flow +- WALL-OSS-FAST: https://huggingface.co/x-square-robot/wall-oss-fast ## Environment Setup @@ -66,4 +98,4 @@ To generate an open-loop comparison plot, please follow: ```bash python ./scripts/draw_openloop_plot.py -``` \ No newline at end of file +```