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Accidents and attacks that involve chemical, biological, radiological/nuclearor explosive (CBRNE) substances are rare, but can be of high consequence. Sincethe investigation of such events is not anybody's routine work, a range of AItechniques can reduce investigators' cognitive load and supportdecision-making, including: planning the assessment of the scene; ongoingevaluation and updating of risks; control of autonomous vehicles for collectingimages and sensor data; reviewing images/videos for items of interest;identification of anomalies; and retrieval of relevant documentation. Becauseof the rare and high-risk nature of these events, realistic simulations cansupport the development and evaluation of AI-based tools. We have developedrealistic models of CBRNE scenarios and implemented an initial set of tools.

A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation