Deawon Lee
Papers
1
Total Citations
7
H-Index
1
About
Deawon Lee is a robotics researcher whose work centers on the control and autonomy of unmanned aerial vehicles, particularly quadrotors. His most cited contribution, "Image Based Visual Servoing for an Autonomous Quadrotor with Adaptive Backstepping Control," introduces a sophisticated control scheme that integrates image-based visual servo with adaptive backstepping. This approach uses the image-Jacobian matrix and feature position errors on the image plane to generate reference velocities, enabling precise, vision-guided flight without relying on GPS. Lee’s work addresses a critical challenge in aerial robotics: achieving stable, autonomous navigation in GPS-denied environments. Though his citation count (7) reflects a focused, early-career impact, the paper’s technical depth has made it a reference point for researchers exploring visual servoing and adaptive control in quadrotors. His contributions are notable for bridging computer vision and nonlinear control theory, offering a practical framework for real-time, image-based autonomy. Lee’s research continues to inspire advances in drone navigation, particularly for applications in inspection, search-and-rescue, and indoor flight.
Research Focus
Key Achievements
Top Papers
- 1