Dynamic Sensor-Tasking and Routing System for Subsurface Hazard Detection
Summary
The Defense Threat Reduction Agency seeks proposals to develop an adaptive, machine‑learning‑driven decision engine that dynamically schedules and routes geophysical sensors for subsurface hazard detection on autonomous platforms. The effort aims to replace static sensor scripts with explainable AI that can prioritize sensor use in real time, reducing data overload and improving safety when confronting buried WMD threats.