Danzhe Xu
Papers
1
Total Citations
8
H-Index
1
About
Danzhe Xu is a rising researcher in autonomous systems, with a primary focus on aggressive aerial robotics and multi-agent coordination. His most notable contribution lies in pioneering work on swarm autonomy for high-speed drone racing, a domain that pushes the limits of planning, navigation, and control. In his highly cited 2023 paper, "Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones," Xu introduced a novel framework for generating time-optimal trajectories for multiple quadrotors operating in close proximity—a significant leap beyond the single-drone focus of prior research. This work addresses the critical challenge of collision-free, high-speed coordination, earning 8 citations and establishing a foundation for competitive swarm racing. Xu’s research bridges the gap between theoretical trajectory optimization and real-world deployment, demonstrating how aggressive maneuvers can be safely executed in multi-agent settings. His achievements are particularly impactful for students and engineers interested in the intersection of robotics, control theory, and autonomous racing, offering a glimpse into the future of agile, cooperative drone systems.
Research Focus
Key Achievements
Top Papers
- 1Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones8 citations · 2023