Kwangyeol Ryu
Papers
9
Total Citations
171
H-Index
5
About
Kwangyeol Ryu is a leading researcher in human-robot collaboration (HRC), with a specific focus on transforming manual mold assembly—a domain traditionally plagued by ergonomic risks from repetitive motion and heavy component handling. His work addresses the critical challenge of integrating collaborative robots (cobots) into low-volume, high-variety production environments, where flexibility and adaptability are paramount. Ryu’s major contributions include developing sophisticated task allocation frameworks, such as genetic algorithm-based systems that optimize the division of labor between humans and multiple cobots based on task characteristics and agent capability. He has also pioneered the use of pre-trained YOLOv5 for real-time status recognition and augmented reality interfaces to enhance system transparency and worker safety. With his most-cited paper garnering 55 citations and several others exceeding 20, Ryu’s research has demonstrably shaped the field. His notable achievements include proposing a knowledge management framework for heterogeneous cobots and a monitoring model to boost system adaptability, collectively advancing sustainable, ergonomic, and efficient HRC systems for small-batch assembly.
Research Focus
Key Achievements
Top Papers
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- 8Application Framework of Collaborative Robot to Mold Assembly Processes2 citations · 2022
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