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About

Sang Hyup Lee is a robotics researcher whose work centers on precise velocity estimation and sensor-based navigation for mobile robots. His major contributions lie in developing robust, redundant sensing systems that overcome the limitations of traditional wheel encoders. Lee pioneered the use of polygonal arrays of optical mice—low-cost, off-the-shelf sensors—to achieve highly accurate velocity estimates for omnidirectional mobile robots. His most influential paper, "Robust Velocity Estimation of an Omnidirectional Mobile Robot Using a Polygonal Array of Optical Mice" (2008, 40 citations), introduced an overdetermined linear system approach that significantly improves estimation reliability by leveraging sensor redundancy. This foundational work is complemented by studies on optical flow sensor arrays and positional uncertainty reduction using overlapped ultrasonic sensor rings for obstacle detection. Lee’s research systematically addresses key challenges in mobile robotics: sensor calibration, robustness analysis, and noise mitigation. With a cumulative citation count exceeding 60 across his top papers, his work has provided a practical, cost-effective framework for enhancing robot odometry and environmental perception—critical for applications in autonomous navigation and industrial automation.