Tae Hyong Kim
Papers
4
Total Citations
13
H-Index
2
About
Tae Hyong Kim is a researcher at the intersection of robotic automation, food processing, and rehabilitation engineering. His work centers on developing intelligent robotic systems that enhance precision and efficiency in both industrial food production and assistive healthcare technologies. In the food domain, Kim has pioneered robotic-automated deep-frying processes for traditional Korean snacks like Kimbugak, creating integrated systems that handle sorting, gripping, frying, and cooling with consistent motion. His 2025 study on robotic versus manual deep-frying demonstrated optimal processing conditions, contributing to quality standardization in food manufacturing. Kim also developed a data-driven 3D simulation framework for meal-kit-packaging robot automation using Tecnomatix plant simulation software, enabling workflow optimization through digital twin technology. In rehabilitation engineering, his 2024 work proposed an improved transfer learning strategy for detecting upper-limb movement intentions from mechanical sensor signals—including sEMG, force-sensitive resistors, and inertial measurement units—for exoskeletal rehabilitation systems. This novel approach using deep and heterogeneous transfer learning techniques addresses critical challenges in human-robot interaction for assistive devices. With publications spanning 2024–2025 and accumulating over a dozen citations, Kim’s research demonstrates meaningful impact in bridging automation engineering with practical applications in food industry and healthcare robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4