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README.md
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---
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pretty_name: Retargeted Robot Motion Dataset
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license: other
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tags:
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- robotics
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- motion-capture
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- robot-motion
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- imitation-learning
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- reinforcement-learning
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dataset_info:
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features:
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- name: joints_list
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dtype: string
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- name: joint_positions
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dtype: float32
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- name: root_position
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dtype: float32
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- name: root_quaternion
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dtype: float32
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- name: fps
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dtype: float32
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- name: duration
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dtype: float32
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- name: r_forearm
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dtype: float32
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- name: l_forearm
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dtype: float32
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- name: r_sole
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dtype: float32
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- name: l_sole
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dtype: float32
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splits:
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- name: train
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num_bytes: ~
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num_examples: ~
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download_size: ~
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dataset_size: ~
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---
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# Retargeted Robot Motion Dataset
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This dataset provides retargeted motion capture sequences for a variety of robotic platforms. The motion data is derived from the [CMU Motion Capture Database](https://mocap.cs.cmu.edu/) and includes a wide range of motion types beyond locomotion — such as gestures, interactions, and full-body activities.
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The data has been adapted to match the kinematic structure of specific robots, enabling its use in tasks such as:
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- Imitation learning
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- Reinforcement learning
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- Motion analysis
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- Skill learning from demonstration
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---
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## 📁 Dataset Format
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Each `.npy` file contains a dictionary with the following keys:
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- `joints_list`: list of joint names
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- `joint_positions`: per-frame joint angle vectors
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- `root_position`: per-frame 3D position of the robot’s base
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- `root_quaternion`: per-frame orientation as quaternions (`xyzw`)
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- `fps`: sampling rate of the motion (frames per second)
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- `duration`: total sequence duration in seconds
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- `r_forearm`, `l_forearm`: optional 3D positions of the forearms
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- `r_sole`, `l_sole`: optional 3D positions of the soles of the feet
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> All lists should have consistent lengths across time frames.
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### Example
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```python
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{
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"joints_list": ["joint_1", "joint_2", ...],
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"joint_positions": [np.array([...]), ...],
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"root_position": [np.array([x, y, z]), ...],
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"root_quaternion": [np.array([x, y, z, w]), ...],
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"fps": 120.0,
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"duration": 3.2
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}
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```
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---
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## 📂 Repository Structure
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The dataset repository is organized by robot model:
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```
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.
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├── ergocub/
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│ ├── wave_hand.npy
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│ ├── walk_forward.npy
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│ └── ...
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├── another_robot/
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│ └── ...
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├── README.md
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```
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Each folder contains `.npy` files with motion data retargeted to that specific robot's model.
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---
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## 📄 License
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Original motion capture data © Carnegie Mellon University.
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Retargeted datasets are provided for research purposes under the BSD 3-Clause license.
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