This report presents a heterogeneous robotic system designed for remote primary triage in mass-casualty incidents (MCIs). The system employs a coordinated air-ground team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) to locate victims, assess their injuries, and prioritize medical assistance without risking the lives of first responders. The UAV identify and provide overhead views of casualties, while UGVs equipped with specialized sensors measure vital signs and detect and localize physical injuries. Unlike previous work that focused on exploration or limited medical evaluation, this system addresses the complete triage process: victim localization, vital sign measurement, injury severity classification, mental status assessment, and data consolidation for first responders. Developed as part of the DARPA Triage Challenge, this approach demonstrates how multi-robot systems can augment human capabilities in disaster response scenarios to maximize lives saved.
@article{arxiv.2512.08754,
title = {A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models},
author = {Jason Hughes and Marcel Hussing and Edward Zhang and Shenbagaraj Kannapiran and Joshua Caswell and Kenneth Chaney and Ruichen Deng and Michaela Feehery and Agelos Kratimenos and Yi Fan Li and Britny Major and Ethan Sanchez and Sumukh Shrote and Youkang Wang and Jeremy Wang and Daudi Zein and Luying Zhang and Ruijun Zhang and Alex Zhou and Tenzi Zhouga and Jeremy Cannon and Zaffir Qasim and Jay Yelon and Fernando Cladera and Kostas Daniilidis and Camillo J. Taylor and Eric Eaton},
journal= {arXiv preprint arXiv:2512.08754},
year = {2025}
}
Comments
Technical Report for the DARPA Triage Challenge PRONTO team