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- ---
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- license: bsd-3-clause
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Retargeted Robot Motion Dataset
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+
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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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+
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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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+
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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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+ ---
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+
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+ ## 📁 Dataset Format
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+
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+ Each `.npy` file contains a dictionary with the following keys:
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+
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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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+
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+ > All lists should have consistent lengths across time frames.
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+
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+ ### Example
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+
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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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+ ---
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+
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+ ## 📂 Repository Structure
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+
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+ The dataset repository is organized by robot model:
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+
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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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+
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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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+ ---
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+
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+ ## 📄 License
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+
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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.