Hyeongrok Yoo
Papers
1
Total Citations
7
H-Index
1
About
Hyeongrok Yoo is a robotics researcher focused on advancing human-robot collaboration in smart manufacturing environments. His primary research areas include mobile robotics, sensor fusion, motion control, and worker-tracking systems for industrial automation. Yoo’s most notable contribution is the development of a worker-following robot system that addresses measurement uncertainty in dynamic factory settings. His 2023 paper, “Development of a Worker-Following Robot System: Worker Position Estimation and Motion Control under Measurement Uncertainty,” proposes a novel method for estimating worker positions using fiducial markers printed on workwear, combined with robust motion control algorithms. This work enables mobile platforms to autonomously transport finished products and subsidiary materials, enhancing efficiency and safety in smart factories. With 7 citations, this study has already drawn attention from researchers in industrial robotics and automation. Yoo’s research bridges the gap between theoretical control systems and practical deployment, offering scalable solutions for real-world manufacturing challenges. His work is particularly valuable for students and engineers interested in human-robot interaction, sensor data processing, and the integration of mobile robots into Industry 4.0 environments.
Research Focus
Key Achievements
Top Papers
- 1