Myung Jin Chung

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Myung Jin Chung is a robotics researcher whose work sits at the intersection of computer vision, autonomous navigation, and spatial mapping. His research has made meaningful contributions to the challenges of robot perception and intelligent motion planning, particularly in real-world environments where precision and reliability are critical. Chung's most recognized contribution addresses a fundamental limitation in image-based visual servoing — the breakdown in performance when robots face large initial pose discrepancies. His 2003 paper, which has garnered 36 citations, introduced a path planning approach using uncalibrated stereo rigs, helping robots maintain visual feature tracking and converge reliably to goal configurations. Complementing this, his work on simultaneous localization and mapping (SLAM) using omni-directional stereo vision sensors (28 citations) tackled the difficult correspondence problem in geometric reconstruction, advancing how autonomous mobile robots interpret and navigate their environments using rich visual data. His later research shifted toward efficient 3D urban mapping, proposing geometric-featured voxel representations to reduce memory demands and computation time when processing point cloud data — work with direct implications for rescue robotics. Taken together, Chung's contributions reflect a sustained commitment to making robotic perception more practical, scalable, and robust across diverse and demanding real-world scenarios.