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@@ -56,7 +56,9 @@ Small-Scale Demonstration Data from the FastUMI Pro Multimodal Sensing System
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  <a href="https://fastumi.com/pro/">Project Homepage</a>
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- <img src="https://huggingface.co/datasets/FastUMIPro/example_data_fastumi_pro_raw/blob/main/4a84995c57de5d63186f923d7a7e06e1.png" alt="FastUMI Pro Hardware System" width="600">
 
 
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  </div>
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  ---
@@ -103,6 +105,7 @@ All pose data (SLAM, Vive, fused) follow the same structure:
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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 |
@@ -112,11 +115,18 @@ timestamp x y z qx qy qz qw
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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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- Origin: Located at the geometric center of the tracking base stations
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- X-axis: Points rightward when facing the primary robot workspace
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- Y-axis: Points forward along the main direction of manipulation tasks
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- Z-axis: Points upward, aligned with gravity direction
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- Units: All positions are in meters, time in seconds
 
 
 
 
 
 
 
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  ---
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@@ -140,15 +150,16 @@ dataset_root/ \
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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 equipment manufactured in China.
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- The FastUMI Pro system integrates multiple sensors including RGB cameras,
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- Time-of-Flight depth sensors, and force-sensitive clamp sensors to capture comprehensive multimodal interaction data.
 
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  ---
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@@ -170,6 +181,7 @@ export HF_ENDPOINT=https://hf-mirror.com
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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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+
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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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  ```
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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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