Papers
11
Total Citations
108
H-Index
5
About
Pyojin Kim is a robotics researcher specializing in visual localization, visual-inertial odometry (VIO), and autonomous navigation for robotic systems operating in challenging environments. He is perhaps best known for his pioneering contributions to space robotics, particularly his work on Astrobee, NASA's free-flying robot aboard the International Space Station. His 2017 paper on illumination-robust visual localization (35 citations) and his 2018 work on autonomous flight under dynamic lighting conditions (26 citations) established him as a leading voice in developing navigation algorithms capable of handling unpredictable real-world conditions. Kim has also made significant contributions to benchmarking, with his comparative evaluation of commercial VIO systems (19 citations) providing valuable practical guidance for researchers and engineers selecting off-the-shelf solutions. His 2024 Astrobee ISS dataset release further demonstrates his commitment to advancing community-wide research in space intra-vehicular navigation. Beyond space applications, Kim has explored SLAM for sparse sensing, moving object detection in dynamic environments, and novel structural world models for urban 3D navigation. His body of work reflects a consistent drive to make autonomous robots more robust, versatile, and deployable across both terrestrial and extraterrestrial settings.
Research Focus
Key Achievements
Top Papers
- 1Robust visual localization in changing lighting conditions35 citations · 2017
- 2
- 3
- 4
- 5
- 6
- 7
- 86-DoF velocity estimation using RGB-D camera based on optical flow2 citations · 2014
- 9A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms2 citations · 2022
- 10