Kiyang Park

Papers

Total Citations

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About

Kiyang Park is a researcher specializing in manufacturing automation and robotic painting systems, with a particular focus on optimizing surface quality in industrial applications. His most-cited work, "Optimization of Tool Path Pitch of Spray Painting Robots for Automotive Painting Quality" (2018), has garnered 14 citations, reflecting its practical relevance to the automotive industry. Park’s primary contributions lie in developing computational models to improve the uniformity and efficiency of robotic spray painting, addressing critical challenges in coating thickness, defect reduction, and process repeatability. By systematically analyzing tool path parameters, he has provided engineers with data-driven strategies to enhance paint finish quality while minimizing material waste and cycle time. Though his citation count is modest, his research bridges the gap between theoretical optimization and real-world manufacturing constraints, offering actionable insights for production lines. Park’s work is particularly notable for its emphasis on precision in high-volume settings, where even minor improvements yield significant cost savings and quality gains. His findings are frequently referenced in studies on robotic path planning and surface coating technologies, establishing him as a focused contributor to the advancement of automated painting processes in the automotive sector.