Update README.md

README.md

@@ -4,81 +4,40 @@ language:
   - zh
 tags:
   - robotics
-  - manipulation
   - embodied-ai
+  - manipulation
   - multimodal
-  - trajectory-data
-  - VLA
-  - fastumi
+  - vla
+  - data-collection
 license: other
 task_categories:
   - robotics
   - imitation-learning
-multimodal: vision+proprioception+trajectory
-dataset_info:
-  features:
-    - name: rgb_images
-      dtype: image
-      description: Multi-view RGB images captured at 60 FPS
-    - name: slam_poses
-      sequence: float32
-      description: Pure-vision SLAM trajectory from FastUMI Pro
-    - name: vive_poses
-      sequence: float32
-      description: SteamVR tracking system poses
-    - name: point_clouds
-      sequence: float32
-      description: Time-of-Flight depth point cloud data
-    - name: clamp_data
-      sequence: float32
-      description: Gripper spacing and motion signals
-    - name: merged_trajectory
-      sequence: float32
-      description: Fused trajectory integrating multi-sensor motion cues
-  configs:
-    - config_name: default
-      data_files: "**/*"
+multimodal: vision+depth+trajectory+force
+configs:
+  - config_name: default
+    data_files: "**/*"
 ---
 
-<div align="center">
-
-# 🦾 **FastUMI Pro Dataset**
-### Multimodal, Hardware-Agnostic, High-Precision Manipulation Dataset  
-![FastUMI](https://img.shields.io/badge/FastUMI-Pro-brightgreen)
-![Dataset](https://img.shields.io/badge/Trajectories-150K-blue)
-![Sensors](https://img.shields.io/badge/Multimodal-7_Sensors-orange)
-
-**A Large-Scale Real-World Dataset for Embodied Intelligence & VLA Training**
-
-[🌐 Project Homepage](https://fastumi.com/pro/)  
-[📦 Example Data](https://huggingface.co/datasets/FastUMIPro/example_data_fastumi_pro_raw)
-
-</div>
+<h1 align="center" style="font-size: 40px; font-weight: bold;">
+  FastUMI Pro™ Robotics Dataset
+</h1>
 
+<h3 align="center">
+  Enterprise-Grade Data Engine for Embodied AI
+</h3>
 
-## 📖 Overview
+<p align="center">
+  <img src="https://img.shields.io/badge/Product-FastUMI_Pro-brightgreen?style=flat"/>
+  <img src="https://img.shields.io/badge/Multimodal-7_Sensors-orange?style=flat"/>
+  <img src="https://img.shields.io/badge/Trajectory_Data-150K-blue?style=flat"/>
+  <img src="https://img.shields.io/badge/Application-VLA_Training-purple?style=flat"/>
+</p>
 
-FastUMI (Fast Universal Manipulation Interface) is a dataset and interface framework for general-purpose robotic manipulation tasks, designed to support hardware-agnostic, scalable, and efficient data collection and model training.
-
-The project provides:
-- Physical prototype systems
-- Complete data collection codebase
-- Standardized data formats and utilities
-- Tools for real-world manipulation learning research
-
-## 🚀 Features
-
-### FastUMI Pro Enhancements
-- ✅ **Higher precision trajectory data**
-- ✅ **Diverse embodiment support** for true "one-brain-multiple-forms"
-- ✅ **Enterprise-ready** pipeline and full-link data processing
-
-### FastUMI-150K
-- ~150,000 real-world manipulation trajectories
-- Used by research partners for large-scale VLA (Vision-Language-Action) model training
-- Demonstrated significant multi-task generalization capabilities
+---
+## 📖 Overview FastUMI (Fast Universal Manipulation Interface) is a dataset and interface framework for general-purpose robotic manipulation tasks, designed to support hardware-agnostic, scalable, and efficient data collection and model training. The project provides: - Physical prototype systems - Complete data collection codebase - Standardized data formats and utilities - Tools for real-world manipulation learning research ## 🚀 Features ### FastUMI Pro Enhancements - ✅ **Higher precision trajectory data** - ✅ **Diverse embodiment support** for true "one-brain-multiple-forms" - ✅ **Enterprise-ready** pipeline and full-link data processing ### FastUMI-150K - ~150,000 real-world manipulation trajectories - Used by research partners for large-scale VLA (Vision-Language-Action) model training - Demonstrated significant multi-task generalization capabilities ## 
 
-## 📊 Model Performance
+📊 Model Performance
 
 **VLA Model Results**: [TBD]