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|
--- |
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task_categories: |
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- robotics |
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tags: |
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- human-robot-interaction |
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|
- multi-agent |
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|
- embodied-ai |
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|
- reinforcement-learning |
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|
dataset_info: |
|
|
features: |
|
|
- name: map_name |
|
|
dtype: string |
|
|
- name: trajectory_id |
|
|
dtype: int64 |
|
|
- name: steps_data |
|
|
dtype: string |
|
|
- name: num_steps |
|
|
dtype: int64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 562424179 |
|
|
num_examples: 912 |
|
|
- name: evaluation |
|
|
num_bytes: 54684865 |
|
|
num_examples: 96 |
|
|
- name: all_data |
|
|
num_bytes: 617109044 |
|
|
num_examples: 1008 |
|
|
download_size: 261118576 |
|
|
dataset_size: 1234218088 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: evaluation |
|
|
path: data/evaluation-* |
|
|
- split: all_data |
|
|
path: data/all_data-* |
|
|
--- |
|
|
|
|
|
# Moving Out: Physically-grounded Human-AI Collaboration Dataset |
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This repository contains the human-human interaction dataset for the paper [Moving Out: Physically-grounded Human-AI Collaboration](https://huggingface.co/papers/2507.18623). |
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|
The **Moving Out** benchmark focuses on human-AI collaboration in physical environments, specifically for embodied agents (e.g., robots). It introduces a new benchmark that resembles a wide range of collaboration modes affected by physical attributes and constraints, such as moving heavy items together and maintaining consistent actions to move a big item around a corner. The dataset includes human-human interaction data collected for two tasks, designed to evaluate models' abilities to adapt to diverse human behaviors and unseen physical attributes in continuous state-action spaces with constrained dynamics. |
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**Project Page:** [https://live-robotics-uva.github.io/movingout_ai/](https://live-robotics-uva.github.io/movingout_ai/) |
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|
**Code:** [https://github.com/live-robotics-uva/moving_out_ai](https://github.com/live-robotics-uva/moving_out_ai) |
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## Sample Usage |
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You can visualize trajectories from this dataset using the `dataset_to_video.py` script provided in the associated GitHub repository. |
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**Save trajectory as MP4:** |
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|
```bash |
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python dataset_to_video.py -f ShuaKang/movingout_task2 -m HandOff -t 4 -v video |
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``` |
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|
|
**Show trajectory in popup window:** |
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|
|
```bash |
|
|
python dataset_to_video.py -f ShuaKang/movingout_task2 -m HandOff -t 4 -v human |
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``` |
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Use `-m` for map name and `-t` for trajectory ID. |
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## Citation |
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If you use this dataset in your research, please cite the original paper: |
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```bibtex |
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@article{, |
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title={Moving Out: Physically-grounded Human-AI Collaboration}, |
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author={Shua Kang, Wenxin Xia, Ziqi Li, Mingxing Yuan, Xufan Wu, Min Bai, Boyi Liu, David Abel, Wenhao Zhang}, |
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|
journal={arXiv preprint arXiv:2507.18623}, |
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|
year={2025}, |
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url={https://huggingface.co/papers/2507.18623} |
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|
} |
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|
``` |
