Kim
Papers
6
Total Citations
29
H-Index
4
About
Kim’s research lies at the intersection of robotic welding, human-robot interaction, and automated construction systems. Their most influential work introduces a fuzzy regression model to predict bead geometry in robotic gas metal arc welding, addressing the longstanding challenge of integrating artificial intelligence into welding systems. By modeling relationships between process variables and weld quality—bead height, penetration, width, and area—this approach enables precise prediction and optimization, earning 11 citations and establishing a foundation for intelligent manufacturing. Kim also explores alternative human-robot interaction with projector-based systems, moving beyond anthropomorphic designs to enhance communication in industrial settings. Their contributions extend to construction robotics, including an auto VRS-GPS surveying system for hazardous environments, and impedance control strategies for connector assembly, both critical for automating dangerous tasks. With additional work on humanoid robot kinematics and offline programming for die polishing, Kim demonstrates a sustained commitment to advancing robotic autonomy and precision. Their research, spanning from welding to assembly and surveying, has practical implications for safety and efficiency, making them a notable figure in applied robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robots with projectors: An alternative to anthropomorphic HRI6 citations · 2009
- 3Development of Positioning System Based on Auto VRS-GPS Surveying4 citations · 2014
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