Papers
4
Total Citations
18
H-Index
3
About
SooYong Yun is a researcher at the forefront of human-robot safety and biomechanics, specializing in the dynamic interaction between humans and mobile robotic systems. His work addresses a critical gap in robotics: understanding and mitigating injury risks as robots become more prevalent in shared human environments. Yun’s major contributions lie in developing anthropomorphic test devices (ATDs) that replicate human rider motion intent, particularly for two-wheeled self-balancing personal mobility devices like unicycles. His 2020 paper on a CMG-based ATD (8 citations) and his 2019 study on a two-DOF ATD (4 citations) provide foundational tools for evaluating dynamic stability and safety, enabling more realistic human-robot collision testing. Beyond mobility, Yun has pioneered the study of neck and chest injuries in constrained and unconstrained frontal collisions between humans and mobile robots, using simulation tools like MADYMO to compute injury indices such as the Combined Thoracic Index (CTI) and Viscous Criterion (VC). His 2016 work on neck injury (4 citations) highlights the growing societal importance of robot-human collision safety. With a total of 18 citations across his most-cited papers, Yun’s research is establishing the biomechanical benchmarks essential for designing safer, more trustworthy robots—a critical step toward widespread robotic integration in daily life.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4