Minsun Lee

Papers

Total Citations

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About

Minsun Lee is a researcher in robotics and computer vision, with a focus on developing intelligent systems for hazardous environments. Their key contributions lie in integrating image segmentation techniques with autonomous navigation, particularly in their notable 2020 work, "Target Distance Calculation Method Using Image Segmentation." This research proposes a system that enables robots to calculate distances to targets using segmented visual data, allowing them to move and operate in dangerous settings where human presence is risky. By leveraging advances in low-cost, high-performance hardware and software, Lee’s work addresses the critical challenge of replacing human workers in life-threatening scenarios, such as disaster response or industrial inspection. While their most-cited paper has garnered 2 citations, it represents a foundational step toward safer, more autonomous robotic systems. Lee’s research bridges practical engineering and theoretical computer vision, contributing to the broader goal of creating affordable, reliable robots that can perform complex tasks in unpredictable environments. Their work continues to inspire further exploration in autonomous navigation and human-robot interaction.