Yeonju Oh

Korea University

Papers

1

Total Citations

2

H-Index

1

About

Yeonju Oh is a robotics researcher whose work centers on precision calibration and sensing for collaborative robots. Her most-cited study, "Calibration of robot DH parameters based on structured light camera" (2024, 2 citations), introduces a practical, low-cost alternative to expensive laser trackers for recalibrating Denavit-Hartenberg (DH) parameters. By leveraging structured-light cameras, Oh’s method simplifies the calibration procedure while maintaining meaningful accuracy, making it accessible for real-world deployment in manufacturing and automation. This contribution addresses a critical bottleneck in robot maintenance—balancing cost and precision—and has immediate relevance for small-to-medium enterprises adopting collaborative robotics. Though early in its citation impact, the work signals a shift toward democratizing high-precision calibration tools. Oh’s research bridges the gap between theoretical kinematics and practical sensing, offering engineers a scalable solution for robot performance optimization. Her focus on affordability and ease-of-use reflects a broader commitment to advancing industrial robotics without prohibitive infrastructure costs, positioning her as a thoughtful innovator in the field of robot metrology and sensor integration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Calibration of robot DH parameters based on structured light camera
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Korea University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago