ASTRID: A Robotic Tutor for Nurse Training to Reduce Healthcare-Associated Infections
Peizhu Qian, Filip Bajraktari, Carlos Quintero-Pena, Qingxi Meng, Shannan Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar
Abstract
The central line dressing change is a life-critical procedure performed by nurses to provide patients with rapid infusion of fluids, such as blood and medications. Due to their complexity and the heavy workloads nurses face, dressing changes are prone to preventable errors that can result in central line-associated bloodstream infections (CLABSIs), leading to serious health complications or, in the worst cases, patient death. In the post-COVID-19 era, CLABSI rates have increased, partly due to the heightened nursing workload caused by shortages of both registered nurses and nurse educators. To address this challenge, healthcare facilities and educators are seeking innovative solutions to complement expert nurse educators. In response, we present a robotic tutoring system,
BibTeX
@inproceedings{rss2025_astridarobotictu,
title = {ASTRID: A Robotic Tutor for Nurse Training to Reduce Healthcare-Associated Infections},
author = {Peizhu Qian and Filip Bajraktari and Carlos Quintero-Pena and Qingxi Meng and Shannan Hamlin and Lydia E. Kavraki and Vaibhav V. Unhelkar},
booktitle = {RSS 2025},
year = {2025}
}