Florence Ho

Papers

Total Citations

H-Index

About

Florence Ho is a researcher specializing in autonomous systems, unmanned aerial vehicles (UAVs), and multi-agent coordination, with a particular focus on the emerging challenges of urban air traffic management. Her work addresses one of the most pressing problems in the drone industry: safely coordinating multiple UAVs from independent service providers operating in shared low-altitude airspace. Ho's most significant contribution is her development of Multi-Agent Path Finding (MAPF) frameworks tailored specifically for UAV traffic management. Her 2019 paper on this topic has garnered 28 citations, establishing her as a notable voice in the UAV traffic management community. Alongside this, her earlier 2018 work on simulating shared airspace introduced practical Conflict Detection and Resolution (CDR) methods, laying important groundwork for scalable drone fleet coordination. A companion robotics-track publication further demonstrates her commitment to bridging theoretical planning algorithms with real-world robotic applications. Collectively, Ho's research tackles the critical safety and efficiency challenges that must be solved before large-scale commercial drone services can become reality. Her work is particularly valuable for researchers and engineers designing Unmanned Traffic Management (UTM) systems, offering both algorithmic solutions and simulation frameworks for the complex, multi-stakeholder airspace environments of tomorrow.