Papers
2
Total Citations
14
H-Index
2
About
Jungho Kim is a pioneering researcher in robotics and automation, with key contributions spanning visual simultaneous localization and mapping (SLAM) and wireless power transfer systems. His seminal work, "Robust feature matching for loop closing and localization" (2007, 11 citations), addresses a critical challenge in vision-based SLAM—accumulated error—by proposing a robust loop detection method that matches image features between incoming frames and key-frames. This innovation has laid foundational groundwork for improving localization accuracy in autonomous systems, influencing subsequent research in mobile robotics. More recently, Kim has advanced industrial automation with his 2024 study on a "coreless track-type seamless wireless charging system using co-planar wires," which enables quasi-free planar movements for mobile logistics robots. Garnering 3 citations in its early release, this work tackles dynamic wireless power transfer, promising to enhance operational efficiency and safety in manufacturing environments. By bridging robust perception with energy innovation, Kim demonstrates a versatile impact, driving progress from SLAM reliability to sustainable automation solutions. His research continues to inspire students and engineers seeking to integrate intelligent navigation with practical, energy-autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Robust feature matching for loop closing and localization11 citations · 2007
- 2