Jinni Zhou
Papers
2
Total Citations
5
H-Index
1
About
Jinni Zhou is a robotics researcher whose work focuses on the critical challenges of multi-robot coordination, particularly in vision-based drone swarms and communication-aware navigation. Her most significant contribution, the FACT system (2024), addresses the fundamental problem of coordinate initialization in drone swarms—the essential first step for any collaborative task. By developing a fast and robust initialization method for vision-based systems, Zhou has tackled a persistent bottleneck that determines the overall quality of swarm operations. This work has already garnered 4 citations, signaling its importance to the field. Her more recent FERMI system (2025) extends her impact into radio mapping, a crucial capability for reliable multi-robot communication in complex, occluded environments. By combining a hybrid propagation model with scalable autonomous data collection, FERMI enables robots to predict signal strength and maintain connectivity even in challenging real-world settings. Zhou’s research sits at the intersection of perception, coordination, and communication, offering practical solutions that move drone swarms closer to robust, real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 2