Dongmin Go
Papers
1
Total Citations
2
H-Index
1
About
Dongmin Go is a leading researcher in wearable robotics and human-in-the-loop optimization, with a focus on making exosuit technology practical for real-world use. His work centers on reducing the time and energy costs associated with personalizing portable exosuits for outdoor walking, a critical step toward transitioning assistive devices from controlled lab environments to everyday life. Go’s major contribution lies in addressing the key bottleneck of prolonged optimization time that has historically prevented human-in-the-loop systems from being deployed outside the laboratory. His 2025 paper, "Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit," has already garnered 2 citations, signaling early impact in this emerging field. By streamlining the calibration process, Go enables exosuits to adapt more quickly to individual users, enhancing both comfort and metabolic efficiency during real-world ambulation. His work bridges the gap between theoretical optimization algorithms and practical, user-friendly wearable technology. For students and researchers in biomechatronics and rehabilitation engineering, Go’s research exemplifies how targeted algorithmic improvements can unlock the potential of assistive robots for broader, daily use.
Research Focus
Key Achievements
Top Papers
- 1