无人机与机器人协同完成灾害现场伤员分类，保障救援人员安全。
A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models
- 空地协同机器人团队分工：无人机俯视定位，地面机器人测量生命体征
- 实现伤员定位、生命体征、伤情分级、意识评估全流程自动 triage
- 专为大规模伤亡事件设计，适合应急救援与灾难响应场景
本报告介绍了一个异构机器人系统，用于在大规模伤亡事件（MCIs）中进行远程初步分类。该系统由协调运作的无人机（UAV）和无人地面车辆（UGV）组成，能够在不危及救援人员生命的情况下，定位伤员、评估伤情并优先安排医疗救助。无人机负责识别并提供伤员的空中视角，而配备专用传感器的地面机器人则测量生命体征、检测并定位身体损伤。与以往仅关注探索或有限医疗评估的研究不同，该系统覆盖了完整的分类流程：伤员定位、生命体征测量、伤情严重程度分类、意识状态评估以及数据整合供前线救援人员使用。该方案是作为DARPA分类挑战赛的一部分开发，展示了多机器人系统如何在灾难响应中增强人类能力，以最大化挽救生命。
原文摘要 · Abstract (English)
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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