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license: cc-by-4.0
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---
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license: cc-by-4.0
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language:
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- en
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tags:
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- medical
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---
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# SutureBot: A Precision Framework and Benchmark for Autonomous End-to-End Suturing
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This dataset is part of the **SutureBot** project, a benchmark for developing and evaluating autonomous surgical robotic policies for end-to-end suturing. It contains high-resolution, multi-camera video and robot kinematics from real robot demonstrations on tissue phantoms, supporting research in imitation learning, vision-language-action modeling, and surgical autonomy.
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## Dataset Summary
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The dataset includes:
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- **Stereo endoscope images** (`left_img_dir`, `right_img_dir`)
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- **Wrist camera views** (`endo_psm1`, `endo_psm2`)
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- **Low-level kinematics** (end-effector pose, joint angles, jaw state, etc.) in `ee_csv.csv`
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- **Multiple tissues** and **multiple task types** (e.g., needle pick-up, suturing)
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- All data is organized by:
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tissue_<id>/<task_name>/<episode_timestamp>/
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Each episode is a complete trajectory from a real robotic execution using a da Vinci Research Kit (dVRK) platform.
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---
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## Usage
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This dataset is designed for training and evaluating autonomous policies that take as input multi-view RGB images (optionally language-conditioned), and output continuous control actions.
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It supports a wide range of applications including:
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- Behavioral cloning and offline RL
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- Multi-modal policy learning (images + kinematics + language)
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- Visual servoing and tool tracking
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- Surgical robot benchmarking
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---
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## File Structure
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Each episode contains:
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- `left_img_dir/`: Left endoscope camera images
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- `right_img_dir/`: Right endoscope camera images
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- `endo_psm1/`: Right wrist (PSM1) camera images
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- `endo_psm2/`: Left wrist (PSM2) camera images
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- `ee_csv.csv`: Kinematic data including joint states, poses, and jaw angles
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---
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## Format
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- Image format: `.jpg`, RGB
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- Kinematics: CSV with columns such as:
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- `timestamp`
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- `psm1_pose.position.{x,y,z}`
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- `psm1_pose.orientation.{x,y,z,w}`
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- `psm1_js[0-5]`, `psm2_js[0-5]`, etc.
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- `ecm_pose.*`, `suj_pose.*`, etc.
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A complete list of columns is available in the `dataset.croissant.json` schema.
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---
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@misc{suturebot2025,
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title = {SutureBot: A Precision Framework and Benchmark for Autonomous End-to-End Suturing},
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author = {Juo-Tung Chen and others},
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year = {2025},
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note = {Under review at NeurIPS 2025 Datasets and Benchmarks Track},
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howpublished = {\url{https://huggingface.co/datasets/YOUR_ORG/suturebot}}
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}
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```
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## License
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This dataset is licensed under CC-BY-4.0. Please credit the authors when using this dataset.
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## Contact
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For questions or collaboration inquiries, please contact:
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Juo-Tung Chen
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Johns Hopkins University
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📧 jchen396@jh.edu
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