Daekyeong Lee
Papers
1
Total Citations
9
H-Index
1
About
Daekyeong Lee is a pioneering researcher in space robotics, specializing in autonomous navigation and localization for intra-vehicular free-flying robots. His most significant contribution is the creation of the first annotated benchmark datasets for evaluating visual-inertial SLAM algorithms in zero-gravity spacecraft environments, using data collected by NASA’s Astrobee robots aboard the International Space Station. This work, published in 2024 and already garnering 9 citations, provides a critical foundation for advancing robot autonomy in space stations, enabling safer and more reliable operations for tasks like inspection and cargo handling. Lee’s research bridges the gap between terrestrial robotics and the unique challenges of microgravity, including dynamic lighting, confined spaces, and sensor drift. By offering standardized evaluation tools, he has empowered the global robotics community to develop and compare localization algorithms tailored for space. His datasets are poised to become a cornerstone for future ISS missions and lunar gateway operations, marking him as a key figure in the emerging field of intra-vehicular space robot navigation.
Research Focus
Key Achievements
Top Papers
- 1