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A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models

Jason Hughes
Marcel Hussing
Edward Zhang
Shenbagaraj Kannapiran
Joshua Caswell
Kenneth Chaney
Ruichen Deng
Michaela Feehery
Agelos Kratimenos
Yi Fan Li
Britny Major
Ethan Sanchez
Sumukh Shrote
Youkang Wang
Jeremy Wang
Daudi Zein
Luying Zhang
Ruijun Zhang
Alex Zhou
Tenzi Zhouga
Jeremy Cannon
Zaffir Qasim
Jay Yelon
Fernando Cladera
Kostas Daniilidis
Camillo J. Taylor
Eric Eaton
Main:8 Pages
8 Figures
Bibliography:3 Pages
1 Tables
Abstract

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.

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