Papers
15
Total Citations
114
H-Index
6
About
Won Suk You is a robotics researcher whose work spans humanoid robot hand design, sensor calibration, and intelligent robotic automation systems. His most influential contributions center on anthropomorphic robot hands, where he has pioneered the development of 3D-printable, mechanically robust designs incorporating intermetacarpal joints that more faithfully replicate human hand anatomy (23 citations). Building on this, he introduced a novel "Interactivity of Fingers" performance index and applied genetic algorithm-based optimization to refine robot hand kinematics, work that has garnered nearly 20 citations and meaningfully advanced how researchers evaluate dexterous manipulation capability. You has also made notable strides in sensor technology, applying deep learning to force/torque sensor calibration — an approach that addresses the practical challenges of multi-axis sensor accuracy in real-world robotic interaction (13 citations). His earlier research demonstrated versatility across the field, including magnetic landmark-based robot localization, ubiquitous sensor network integration, and an innovative mobile robotic platform for clinical laboratory automation, the latter reflecting a commitment to translating robotics research into healthcare applications. With cumulative citations exceeding 90 across his documented works, You's contributions offer a coherent vision of robots that sense, move, and manipulate with greater human-like intelligence and reliability.
Research Focus
Key Achievements
Top Papers
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- 3Force/torque sensor calibration method by using deep-learning13 citations · 2017
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- 5Global localization for a small mobile robot using magnetic patterns8 citations · 2010
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