Neng Pan
Papers
4
Total Citations
103
H-Index
3
About
Neng Pan is a rising star in aerial robotics, whose work pushes the boundaries of autonomous drone flight, multi-modal locomotion, and large-scale swarm coordination. His research centers on developing efficient, scalable planning algorithms for aggressive and adaptive drone behaviors. Pan’s most notable contribution is **Fast-Racing** (2021, 69+ citations), an open-source strong baseline for SE(3) planning in autonomous drone racing. This work enables drones to navigate obstacle courses at high speeds with aggressive attitudes, mimicking professional pilots—a critical step for time-critical missions beyond racing. He also introduced **Skater** (2024, 21 citations), a novel bi-modal bi-copter robot that seamlessly transitions between flight and ground locomotion using passive wheels, expanding drones’ operational versatility in cluttered or mixed terrains. Most recently, Pan unveiled **Primitive-Swarm** (2025, 10 citations), an ultra-lightweight planner that tackles the scalability challenge in large aerial swarms, allowing hundreds of drones to coordinate in real time with minimal computational overhead. His work consistently balances theoretical rigor with practical open-source tools, making advanced autonomy accessible to the research community. Pan’s achievements signal a future where drones are not only faster and more agile but also capable of operating in diverse environments and at unprecedented scales.
Research Focus
Key Achievements
Top Papers
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