Papers
2
Total Citations
19
H-Index
2
About
Hyunki Lee is a robotics researcher specializing in sensor fusion, 3D perception, and autonomous mobile robot navigation. His work centers on integrating visual and inertial sensing to enhance spatial awareness and motion estimation for robotic platforms. Lee’s most cited paper, “Visual gyroscope: Integration of visual information with gyroscope for attitude measurement of mobile platform” (2008), proposes a novel fusion approach that uses visual data to correct drift errors inherent in inertial sensors, enabling precise and rapid attitude measurement for remotely operated robots—a foundational contribution to robust state estimation. In another influential study, “An active trinocular vision system for sensing mobile robot navigation environments” (2005), he introduced a laser-structured lighting method for 3D indoor space sensing, offering robustness in complex navigation environments. Though his citation counts are modest (10 and 9 respectively), these papers represent early, practical advances in sensor integration and active vision that have informed subsequent work in field robotics. Lee’s research demonstrates a clear focus on overcoming real-world sensing challenges, making his contributions valuable for students and engineers developing reliable perception systems for autonomous mobile robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2