Kang Hee Lee
Papers
1
Total Citations
2
H-Index
1
About
Kang Hee Lee is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and the integration of robot operating systems (ROS) with sensor technologies. His most cited study, "A Study of Autonomous Navigation of a Robot Model based on SLAM, ROS, and Kinect" (2018), demonstrates a practical approach to enabling mobile robots to autonomously navigate between specified points by leveraging ROS for SLAM and the Kinect sensor for environmental perception. This work contributes to the foundational challenges of robotic autonomy, particularly in indoor settings where real-time mapping and localization are critical. While his citation count remains modest, Lee’s research reflects a hands-on, systems-level focus on bridging software frameworks and hardware sensors to advance mobile robotics. His work is of particular interest to students and researchers exploring ROS-based development, sensor integration, and the implementation of SLAM algorithms in real-world robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1