Andrew Meighan

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About

Andrew Meighan is a researcher advancing the frontier of autonomous aerial robotics, with a particular focus on lighter-than-air unmanned aerial vehicles (UAVs). His work centers on multi-modality localization and real-time sensing systems, enabling low-cost, attritable vehicles to operate reliably in hazardous environments. Meighan’s key contribution lies in integrating diverse sensor data to achieve robust, real-time localization for autonomous UAVs—a critical capability for applications ranging from disaster response to environmental monitoring. His most-cited paper, "Multi-Modality Localization of Autonomous Lighter-Than-Air UAVs in Real-Time" (2026, 2 citations), demonstrates how advancements in sensing technologies can support vehicle operation across varied terrains, even when high-end sensors are impractical. By prioritizing affordability and resilience, Meighan’s work opens new possibilities for deploying autonomous systems in risky scenarios where traditional platforms may fail. His research is particularly notable for bridging the gap between cutting-edge robotics and practical, cost-effective solutions, making autonomous aerial technology more accessible for real-world challenges. Meighan’s contributions are shaping the next generation of UAVs that are both intelligent and expendable, with significant implications for safety-critical missions.