Dataset Access
The OpenRoboCare dataset is available in multiple formats to suit different research needs. You can download specific modalities, individual OT demonstrator data, or request access to the full dataset.
Online Preview
Full Dataset Access
The full OpenRoboCare dataset is publicly hosted on AWS under the bucket
s3://open-robo-care as part of the AWS Open Data Sponsorship Program.
You can browse or download the data directly using AWS tools.
A step-by-step access and exploration tutorial is available here: OpenRoboCare AWS access tutorial.
Download Options
Download specific sensor types across all occupational therapists:
- RGB Images - Anonymized camera footage from 3 viewpoints
- Depth Maps - Corresponding depth information
- Gaze Data - Eye-tracking coordinates and vectors
- Egocentric Videos - Head-mounted camera perspective from Pupil Labs eye tracker
- Third-Person Videos - GoPro camera footage
- Tactile Data - 44-sensor pressure readings
- 2D Pose Annotations - Keypoint annotations for pose estimation
- 3D Pose Tracking - Motion capture data for manikin and caregiver
- Action Labels - Temporal annotations of caregiving activities
License Information
The OpenRoboCare dataset is released under the BSD-3-Clause license. By accessing the dataset, you agree to:
- Use the data solely for research and educational purposes
- Not attempt to re-identify anonymized individuals
- Cite the dataset in any publications using the data
- Not redistribute the dataset without permission
- Respect the privacy of all participants
Citation
Please cite the dataset using:
@inproceedings{Liang2025OpenRoboCare,
title={{OpenRoboCare: A Multimodal Multi-Task Expert Demonstration Dataset for Robot Caregiving}},
author={Xiaoyu Liang and Ziang Liu and Kelvin Lin and Edward Gu and Ruolin Ye and Tam Nguyen and Cynthia Hsu and Zhanxin Wu and Xiaoman Yang and Christy Sum Yu Cheung and Harold Soh and Katherine Dimitropoulou and Tapomayukh Bhattacharjee},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year={2025},
url={https://emprise.cs.cornell.edu/robo-care/}
}Support
For questions about dataset access or technical support, please visit the project website or contact the research team directly.