Sangryong Lee
Papers
2
Total Citations
7
H-Index
2
About
Sangryong Lee’s research centers on robotics and autonomous systems, with a focus on energy-efficient motion control and sensor-based environmental mapping. His most notable contribution is the development of torque-compensation strategies for robotic limbs in a stance, which significantly reduces energy consumption during locomotion—a critical advancement for legged robots operating in real-world environments. This work, published in 2018, has garnered 5 citations and represents a practical step toward more sustainable robotic mobility. Earlier in his career, Lee addressed a fundamental challenge in mobile robotics: improving map accuracy using sonar sensors. In his 2006 paper, he modified existing sonar models to mitigate the inherent angular uncertainty of these sensors, which, while accurate for distance measurement, often produce ambiguous positional data. By modeling this uncertainty with a Gaussian distribution, Lee enhanced the reliability of sonar-based mapping, laying groundwork for more robust autonomous navigation. Though his citation counts are modest, his contributions reflect a methodical approach to solving persistent problems in robotic efficiency and perception, making his work valuable for researchers in field robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1
- 2Building Map Using Peak Amplitude of Sonar Echoes2 citations · 2006