Vascular shunt insertion is a fundamental surgical procedure used to temporarily restore blood flow to tissues. It is often performed in the field after major trauma. We formulate a problem of automated vascular shunt insertion and propose a pipeline to perform Automated Vascular Shunt Insertion (AVSI) using a da Vinci Research Kit. The pipeline uses a learned visual model to estimate the locus of the vessel rim, plans a grasp on the rim, and moves to grasp at that point. The first robot gripper then pulls the rim to stretch open the vessel with a dilation motion. The second robot gripper then proceeds to insert a shunt into the vessel phantom (a model of the blood vessel) with a chamfer tilt followed by a screw motion. Results suggest that AVSI achieves a high success rate even with tight tolerances and varying vessel orientations up to 30{\deg}. Supplementary material, dataset, videos, and visualizations can be found at https://sites.google.com/berkeley.edu/autolab-avsi.
@article{arxiv.2211.02293,
title = {Automating Vascular Shunt Insertion with the dVRK Surgical Robot},
author = {Karthik Dharmarajan and Will Panitch and Muyan Jiang and Kishore Srinivas and Baiyu Shi and Yahav Avigal and Huang Huang and Thomas Low and Danyal Fer and Ken Goldberg},
journal= {arXiv preprint arXiv:2211.02293},
year = {2023}
}
Comments
Published in: IEEE International Conference on Robotics and Automation (ICRA) 2023