Ziyi Xu
Papers
1
Total Citations
4
H-Index
1
About
Ziyi Xu is a rising researcher in robotics and multi-agent systems, with a focus on vision-based drone swarms and autonomous coordination. Their most cited work, "FACT: Fast and Active Coordinate Initialization for Vision-Based Drone Swarms" (2024), addresses a critical bottleneck in swarm robotics: achieving rapid, robust coordinate initialization without external infrastructure. By proposing a complete system that enables drones to actively localize and align their coordinate frames using only onboard vision, Xu's contribution directly enhances the reliability and speed of collaborative tasks such as formation flight and search-and-rescue. This work has already garnered early citations, reflecting its practical significance. Xu's research bridges the gap between theoretical swarm algorithms and real-world deployment, tackling challenges in perception, state estimation, and decentralized control. Their achievements include advancing the state of the art in active initialization for GPS-denied environments, a key enabler for scalable drone swarms. As a young researcher, Xu is already shaping the future of autonomous aerial robotics, making their work essential reading for students and engineers interested in robust, vision-based multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1