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.

翻译：本报告介绍了一种为大规模伤亡事件（MCIs）中的远程初步分诊而设计的异构机器人系统。该系统采用由无人机（UAV）与无人地面车辆（UGV）组成的空地协同团队，以定位伤员、评估其伤情并确定医疗救助优先级，同时避免急救人员暴露于生命危险。无人机负责识别伤员并提供俯视视角，而配备专用传感器的无人地面车辆则测量生命体征，并检测与定位身体损伤。与以往专注于环境探索或有限医疗评估的研究不同，本系统处理了完整的分诊流程：伤员定位、生命体征测量、伤情严重程度分类、精神状态评估，以及为急救人员整合数据。作为DARPA分诊挑战赛的一部分，该方法展示了多机器人系统如何在灾难响应场景中增强人类能力，以最大限度地挽救生命。