Yong Se Kim

Sungkyunkwan University, University of Wisconsin–Milwaukee

Papers

Total Citations

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About

Yong Se Kim’s research lies at the intersection of computer-aided design (CAD), manufacturing automation, and robotics, with a particular focus on feature-based reasoning and ontology-driven context understanding. His pioneering work on feature-based assembly mating reasoning (1999, 14 citations) laid foundational methods for automatically determining how mechanical parts fit together, directly advancing intelligent design and assembly planning. Kim also made significant contributions to manufacturing efficiency through his integrated machining tool path planning method (2003, 10 citations), which unifies local and global path planning by leveraging feature free spaces—a technique that streamlines automated machining from solid models and tolerance specifications. In robotics, his ontology modeling and storage system for robot context understanding (2005, 16 citations) and his object ontology using form-function reasoning (2005, 6 citations) established frameworks that enable robots to interpret their environment by reasoning about an object’s shape and purpose. These contributions, though modest in raw citation counts, have been influential in niche but critical domains of CAD/CAM and robotic cognition. Kim’s work demonstrates a sustained commitment to bridging geometric modeling with intelligent automation, making him a respected figure in feature-based design and manufacturing research.