Kyeong-Jun Seo
Papers
2
Total Citations
5
H-Index
2
About
Kyeong-Jun Seo is a researcher at the forefront of robotics and biomechanical engineering, with a focus on developing intelligent systems that bridge the gap between machines and human locomotion. His work spans two key areas: the design of novel robotic platforms and the recognition of human gait environments. Seo’s early contributions include the development of a wall-climbing robot that uses vacuum adsorption with legged-type movement (2017, 3 citations), a project that demonstrates his expertise in creating versatile, bio-inspired robotic systems for challenging terrains. More recently, he has advanced the field of wearable robotics and fall prevention through a pilot study on gait environment recognition (2025, 2 citations). This work employs a feed-forward neural network to analyze biomechanical and physiological signals, enabling accurate detection of whether a person is walking on level ground, ramps, or stairs. By integrating machine learning with human motion analysis, Seo’s research directly addresses critical challenges in assistive technology, offering pathways to safer, more responsive exoskeletons and prosthetics. His interdisciplinary approach—combining robotics, signal processing, and neural networks—positions him as an emerging innovator in human-robot interaction and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2