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@@ -5,56 +5,57 @@ language:
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  tags:
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  - robotics
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  - manipulation
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- - vla
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- - trajectory-data
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  - multimodal
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- - vision-language-action
 
 
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  license: other
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  task_categories:
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  - robotics
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- - reinforcement-learning
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- multimodal: vision+language+action
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  dataset_info:
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  features:
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  - name: rgb_images
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  dtype: image
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- description: Multi-view RGB images
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  - name: slam_poses
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  sequence: float32
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- description: SLAM pose trajectories
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  - name: vive_poses
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  sequence: float32
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- description: Vive tracking system poses
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  - name: point_clouds
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  sequence: float32
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- description: Time-of-Flight point cloud data
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  - name: clamp_data
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  sequence: float32
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- description: Clamp sensor readings
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  - name: merged_trajectory
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  sequence: float32
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- description: Fused trajectory data
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  configs:
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  - config_name: default
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  data_files: "**/*"
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  ---
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- <div align="center">
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- <font size="10"> FastUMI Pro Dataset</font>
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- </div>
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-
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  <div align="center">
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  ![FastUMI](https://img.shields.io/badge/FastUMI-Pro-brightgreen)
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- ![Dataset](https://img.shields.io/badge/Dataset-150K-blue)
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- ![VLA](https://img.shields.io/badge/VLA-Ready-orange)
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- **Enterprise-grade Robotic Manipulation Dataset for Universal Manipulation Interface**
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- [Project Homepage](https://fastumi.com/pro/) | [Example Data](https://huggingface.co/datasets/FastUMIPro/example_data_fastumi_pro_raw)
 
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  </div>
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  ## 📖 Overview
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  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.
 
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  tags:
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  - robotics
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  - manipulation
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+ - embodied-ai
 
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  - multimodal
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+ - trajectory-data
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+ - VLA
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+ - fastumi
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  license: other
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  task_categories:
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  - robotics
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+ - imitation-learning
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+ multimodal: vision+proprioception+trajectory
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  dataset_info:
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  features:
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  - name: rgb_images
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  dtype: image
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+ description: Multi-view RGB images captured at 60 FPS
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  - name: slam_poses
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  sequence: float32
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+ description: Pure-vision SLAM trajectory from FastUMI Pro
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  - name: vive_poses
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  sequence: float32
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+ description: SteamVR tracking system poses
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  - name: point_clouds
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  sequence: float32
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+ description: Time-of-Flight depth point cloud data
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  - name: clamp_data
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  sequence: float32
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+ description: Gripper spacing and motion signals
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  - name: merged_trajectory
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  sequence: float32
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+ description: Fused trajectory integrating multi-sensor motion cues
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  configs:
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  - config_name: default
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  data_files: "**/*"
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  ---
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  <div align="center">
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+ # 🦾 **FastUMI Pro Dataset**
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+ ### Multimodal, Hardware-Agnostic, High-Precision Manipulation Dataset
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  ![FastUMI](https://img.shields.io/badge/FastUMI-Pro-brightgreen)
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+ ![Dataset](https://img.shields.io/badge/Trajectories-150K-blue)
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+ ![Sensors](https://img.shields.io/badge/Multimodal-7_Sensors-orange)
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+ **A Large-Scale Real-World Dataset for Embodied Intelligence & VLA Training**
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+ [🌐 Project Homepage](https://fastumi.com/pro/)
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+ [📦 Example Data](https://huggingface.co/datasets/FastUMIPro/example_data_fastumi_pro_raw)
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  </div>
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+
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  ## 📖 Overview
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  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.