Jonghwa Kim

Korea University of Science and Technology, Cheju Halla University

Papers

Total Citations

H-Index

About

Jonghwa Kim’s research lies at the intersection of industrial robotics, computational intelligence, and advanced manufacturing, with a particular focus on autonomous path planning for complex production environments. His major contributions center on developing evolutionary algorithms and sampling-based methods to enable cooperating industrial robots to navigate dynamic, high-precision tasks—such as the automated layup of carbon fiber reinforced plastics (CFRP) for aerospace components. Kim’s work addresses a critical industry 4.0 challenge: reconfiguring production facilities to handle high product variant diversity without manual intervention. His most cited paper, “Automatic Path Planning of Industrial Robots Comparing Sampling-based and Computational Intelligence Methods” (2017, 35 citations), systematically benchmarks these approaches, establishing a framework for smart, adaptable robotic systems. Subsequent studies on cooperating robots using evolutionary algorithms (2018, 23 citations; 2020, 28 citations) further demonstrate how multi-robot coordination can replace labor-intensive processes like dry-fiber depositing, where hundreds of textile blanks must be precisely placed in a tool mould. Kim’s research has direct implications for reducing manual labor in aerospace manufacturing, improving efficiency, and enabling scalable automation. With cumulative citations exceeding 86, his work is a key reference for engineers and researchers advancing autonomous robotic systems in smart factories.