Seungchul Shin
Papers
3
Total Citations
10
H-Index
3
About
Seungchul Shin is a robotics researcher whose work focuses on advancing autonomous mobile manipulation and real-world robot perception. His key research areas include visual odometry, template matching for localization, and the control of omni-directional and high-speed delivery robots. Shin’s most-cited paper, “Visual Odometry for Absolute Position Estimation using Template Matching on Known Environment” (2021, 4 citations), introduces a novel algorithm that enables robots to determine their absolute position by matching camera images with pre-mapped environmental data, employing robust template matching for reliable image alignment. His contributions also extend to practical, cost-effective robotics education: in “Development of 3D printed rapid omni-directional mecanum mobile manipulator” (2021, 3 citations), Shin addressed the high cost of cobot research by designing a fully 3D-printed, affordable platform for universities. Additionally, his work on “Gazebo Simulation of Autonomous Delivery Robot using Model Predictive Control for High-speed Mobility” (2021, 3 citations) tackles the challenge of maintaining stability and control in delivery robots navigating at speed, countering inertial forces from a high center of mass. Through these efforts, Shin demonstrates a commitment to both theoretical innovation and accessible, applied robotics.
Research Focus
Key Achievements
Top Papers
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