Hyunkyu Shin
Papers
1
Total Citations
42
H-Index
1
About
Hyunkyu Shin is a leading researcher at the intersection of construction robotics, computer vision, and human-robot collaboration. His work focuses on developing intelligent sensing systems that enable construction robots to safely and effectively work alongside human workers. Shin’s most-cited paper, “Multi-Camera-Based Human Activity Recognition for Human–Robot Collaboration in Construction” (2023, 42 citations), addresses a critical safety challenge: how robots can accurately recognize and predict human behavior in dynamic, cluttered construction environments. By overcoming the limitations of single or RGB-depth cameras, his multi-camera framework enhances collision prevention and operational efficiency. This contribution is foundational for advancing autonomous construction sites where humans and robots share space. Shin’s research has significant implications for improving both worker safety and productivity in the construction industry. His work is widely cited by scholars in construction engineering, robotics, and human-activity recognition, marking him as a key voice in the push toward safer, smarter, and more collaborative construction environments.
Research Focus
Key Achievements
Top Papers
- 1