Chanho Lee

Papers

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About

Chanho Lee is a leading researcher in industrial robotics and machine vision, with a focus on enabling automation through advanced perception systems. His work centers on stereo vision and 3D pose estimation, addressing critical challenges in factory automation. Lee’s most influential contribution is his 2012 paper on “Stereo vision based automation for a bin-picking solution,” which has garnered 60 citations, reflecting its impact on practical robotic manipulation. He also developed foundational stereo vision systems for industrial robots (2007, 17 citations), demonstrating how vision allows robots to recognize and adapt to their environments, much like human sight. In 2010, Lee introduced a novel “virtual plane algorithm” for measuring the 3D pose of large objects, combining 2D image features with CAD data to achieve high accuracy—a notable innovation for handling oversized components in manufacturing. His research bridges the gap between theoretical computer vision and real-world industrial applications, making him a key figure in advancing flexible, vision-guided robotics. For students and researchers, Lee’s work offers a clear example of how stereo vision and pose estimation can solve practical automation problems, from bin-picking to large-object handling.