MinKyo Lee

Papers

Total Citations

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About

MinKyo Lee is a pioneering researcher in the intersection of robotic manipulation, tactile sensing, and computer vision. His work focuses on endowing humanoid robots with the sensory intelligence necessary to identify and interact with objects as humans do. Lee’s most cited paper, "Haptic identification of objects using tactile sensing and computer vision" (2019, 13 citations), addresses a critical gap in robotic grasping by integrating vision-based shape analysis with tactile feedback. This dual-modality approach enables robots to accurately predict and identify objects they hold, moving beyond simple grip control toward true perceptual understanding. By fusing visual and haptic data, Lee’s contributions lay the groundwork for more adaptive, human-like robotic hands capable of functioning in unstructured environments. His research is particularly influential in the fields of assistive robotics and autonomous manipulation, where precise object recognition is essential. Lee’s work not only advances fundamental robotics but also inspires new directions in sensor fusion and embodied AI, making him a notable figure in the growing effort to bridge machine perception and physical interaction.