Kangneoung Lee
Papers
4
Total Citations
87
H-Index
4
About
Kangneoung Lee is a robotics researcher whose work centers on adaptive locomotion, autonomous navigation, and terrain perception for mobile robots operating in complex, unstructured environments. His most impactful contribution is the **α-WaLTR** (Adaptive Wheel-and-Leg Transformable Robot), a novel platform that seamlessly transitions between wheeled and legged modes to traverse diverse terrains—from flat surfaces to rubble—garnering over 66 citations and establishing a new paradigm in multi-terrain mobility. Lee has also advanced stair-climbing autonomy with a vision-based staircase detection algorithm that uses an interpretable classification model, enabling robots to safely navigate vertical obstacles. More recently, he has pioneered terrain-aware path planning that integrates semantic segmentation with an uncertainty rejection filter to counter adversarial noise, significantly improving robustness in field robotics. His work extends to precision agriculture, where he developed an autonomous field navigation system using an extended Kalman filter fusing GPS, IMU, and wheel encoder data for reliable data collection in crop fields. With a growing citation record and a focus on practical, deployable solutions, Lee is shaping the future of mobile robots that can intelligently adapt to and operate within the world’s most challenging environments.
Research Focus
Key Achievements
Top Papers
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