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README.md
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<a href="https://fastumi.com/pro/">Project Homepage</a>
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<
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</div>
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---
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```markdown
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timestamp x y z qx qy qz qw
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```
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| Field | Description | Field | Description |
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| y | Position Y (meters) | qz | Quaternion Z component |
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| z | Position Z (meters) | qw | Quaternion W component |
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---
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│ ├── Clamp_Data/ # Gripper width sensor data during manipulation \
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│ └── Merged_Trajectory/ # Unified trajectory data from sensor fusion \
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└── organize/ # Organized data structure following the same pattern \
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└── session_folders/
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---
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## 📸 How We Collect Data
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We collect data using
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Time-of-Flight depth sensors
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## ⚠️ Dataset Scale Notice
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This dataset contains **only a small number of sample episodes**
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and is **not intended for large-scale training**.
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<a href="https://fastumi.com/pro/">Project Homepage</a>
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<br><br>
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<img src="https://huggingface.co/datasets/FastUMIPro/example_data_fastumi_pro_raw/resolve/main/4a84995c57de5d63186f923d7a7e06e1.png" alt="FastUMI Pro Hardware System" width="80%" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0,0,0,0.2);">
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</div>
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---
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```markdown
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timestamp x y z qx qy qz qw
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```
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| Field | Description | Field | Description |
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| y | Position Y (meters) | qz | Quaternion Z component |
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| z | Position Z (meters) | qw | Quaternion W component |
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Timestamp: Unix timestamp (seconds).
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Position (x, y, z): Translation vector in meters.
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Orientation (qx, qy, qz, qw): Rotation quaternion (Scalar-last format).
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2. Coordinate System Reference
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To ensure correct visualization and control, please adhere to the following frame definition:
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Origin (0,0,0): Geometric center of the tracking base stations (World Frame).
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🔴 X-Axis: Points Right (facing the robot workspace).
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🟢 Y-Axis: Points Forward (main manipulation direction).
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🔵 Z-Axis: Points Upward (aligned with gravity, opposing g).
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<div align="center">
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<small><i>Tip: If using ROS or specific simulators (like Isaac Gym), ensure you apply the necessary transform if your Z-axis convention differs.</i></small>
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</div>
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---
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│ ├── Clamp_Data/ # Gripper width sensor data during manipulation \
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│ └── Merged_Trajectory/ # Unified trajectory data from sensor fusion \
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└── organize/ # Organized data structure following the same pattern \
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└── session_folders/
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---
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## 📸 How We Collect Data
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We collect data using the FastUMI Pro hardware suite. This system integrates high-frequency sensors to capture comprehensive multimodal interaction data:
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Visual: Industrial-grade RGB cameras.
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Spatial: Time-of-Flight depth sensors for dense 3D reconstruction.
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Haptic/State: Force-sensitive clamp sensors for precise gripper feedback.
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---
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## ⚠️ Dataset Scale Notice
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[!IMPORTANT]
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This dataset contains **only a small number of sample episodes**
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and is **not intended for large-scale training**.
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