Bart Cox

About

Bart Cox is a leading researcher in aerial robotics and neuromorphic sensing, with a focus on advancing perception systems for fixed-wing unmanned aerial vehicles (UAVs). His most-cited work, "Development of a Fixed-Wing UAV Testbed for In-Flight Data Collection from an Event-Based Camera" (2026), addresses a critical gap in the field by enabling the integration of event-based cameras—sensors known for their high temporal resolution, low latency, and superior dynamic range—onto fixed-wing platforms, which have traditionally been overshadowed by multi-rotor systems in this domain. This contribution is pivotal for real-time, high-speed aerial data collection in challenging environments. With 2 citations already, his work is gaining traction among researchers exploring neuromorphic vision in robotics. Cox’s research not only expands the operational envelope of event-based sensing but also provides a robust testbed for future studies, bridging the gap between theoretical advancements and practical deployment. His achievements underscore a commitment to pushing the boundaries of autonomous flight and sensor technology, making him a notable figure in the evolving landscape of aerial robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of a Fixed-Wing UAV Testbed for In-Flight Data Collection from an Event-Based Camera

   2 citations · 2026

Key Collaborators

Contact & Links