Papers
16
Total Citations
219
H-Index
8
About
KangGeon Kim is a robotics and artificial intelligence researcher whose work spans humanoid robotics, computer vision, and smart agriculture technologies. Over more than a decade, Kim has made significant contributions to the development of intelligent robotic systems, from foundational work on humanoid platforms to cutting-edge applications in automated farming and disinfection. Kim's early research focused on humanoid robot systems, producing influential work on head-eye calibration (27 citations), imitation learning for human-like motion generation (22 citations), and cognitive architectures for autonomous task execution. His contributions to the MAHRU-M mobile humanoid platform and network-based home service robots (each with 20 citations) helped establish frameworks for coordinated, real-world robot deployment. This body of work reflects a sustained commitment to bridging human cognition and robotic behavior. In recent years, Kim has pivoted toward pressing societal challenges. His development of AI-powered disinfection robots during the COVID-19 pandemic (20 citations) demonstrated real-world impact, while his most-cited work on smart farm robots using object detection and image fusion (61 citations) positions him at the forefront of precision agriculture. His research on social robots and 6D object pose estimation further underscores his versatility. Collectively, Kim's portfolio represents a rich career advancing robots that meaningfully serve human environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot Head-Eye calibration using the Minimum Variance method27 citations · 2010
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- 4Providing services using network-based humanoids in a home environment20 citations · 2011
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- 7Autonomous task execution of a humanoid robot using a cognitive model14 citations · 2010
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