Won Kyung is a Ph.D. candidate in Mechanical Engineering at Stanford with eight years of research experience building tactile-perception systems for dexterous manipulation. As a Graduate Research Assistant in the Stanford ARM lab, he led development of DenseTact and DenseTact 2.0—vision-based tactile sensors that recover high-resolution force and deformation maps—and created exploration and inter-finger manipulation methods for embedded and cluttered object handling. His work sits at the intersection of control theory, optimization, and human-robot interaction, translating tactile sensing advances into practical manipulation strategies. Having interned at NAVER LABS and The AI Institute, he combines academic rigor with industry-facing research and a knack for making rich perception modalities usable for autonomous robots. An understated strength is his focus on embedding tactile feedback into closed-loop control, not just sensors, enabling more reliable real-world robotic behavior.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at 서울대학교 (Seoul National University)
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stanford University
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