Papers
1
Total Citations
36
H-Index
1
About
In-Huck Kim is a leading researcher in mobile robotics, with a focus on autonomous navigation, terrain adaptation, and intuitive human-robot interaction. His most-cited work, "Autonomous terrain adaptation and user-friendly tele-operation of wheel-track hybrid mobile robot" (2012), has garnered 36 citations, establishing a foundation for hybrid locomotion systems that seamlessly transition between wheels and tracks in challenging environments. Kim’s major contributions lie in developing algorithms that enable robots to autonomously assess and adjust to diverse terrains—such as rubble, slopes, or uneven ground—while also simplifying tele-operation for non-expert users. This dual emphasis on autonomy and usability has advanced practical applications in search-and-rescue, exploration, and industrial inspection. Beyond this seminal paper, Kim’s research integrates sensor fusion, control systems, and human-robot interfaces, reflecting a commitment to bridging the gap between complex robotics and real-world deployment. His work is widely cited by engineers designing adaptive, user-friendly platforms, underscoring his impact on both academic theory and applied robotics. For students and researchers, Kim’s career exemplifies how targeted innovation in locomotion and tele-operation can transform mobile robots into reliable partners in unpredictable settings.
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Top Papers
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