Ki Hyun Kwon

Papers

Total Citations

H-Index

About

Ki Hyun Kwon is a rising figure in industrial robotics and food manufacturing automation, whose work bridges the gap between theoretical simulation and practical deployment. His primary research areas center on robotic automation systems for food processing, with a specific focus on the deep-frying and packaging of traditional Korean foods like Kimbugak, as well as modern Home Meal Replacement (HMR) products. Kwon’s major contribution lies in developing data-driven 3D simulation frameworks—using Tecnomatix Plant Simulation software—to model, evaluate, and optimize complex robotic workflows before costly physical implementation. His most cited paper (2025, 6 citations) pioneers a plant simulation for automating the deep-frying process of Kimbugak, while his 2024 work (5 citations) provides a simulation-based approach to assess robotic automation effectiveness in HMR product loading, addressing the industry’s need for safe, high-quality production. By scanning real production sites and analyzing manual workflows, Kwon’s research offers a low-risk pathway for small and medium food manufacturers to adopt robotics. His framework for meal-kit-packaging automation (2025, 2 citations) further demonstrates his commitment to reducing labor-intensive processes. Though early in his career, Kwon’s work is already informing practical decisions in the rapidly growing HMR sector, making him a key voice in the future of food industry automation.