Papers

1

Total Citations

2

H-Index

1

About

Dong Whan Kim is a researcher whose work bridges robotics, computer vision, and industrial automation, with a particular focus on hand/eye calibration—a critical step for integrating sensors like cameras and laser range finders with robotic systems. His most-cited paper, "Hand/Eye Calibration Using 3D-3D Correspondences" (2013), addresses the foundational challenge of transforming sensor data into robot coordinates, enabling more adaptive and precise robotic operations beyond traditional teaching-pendant methods. While his citation count is modest, Kim’s contributions are notable for their practical relevance to expanding robot capabilities in industrial settings, where accurate sensor-robot alignment is essential for tasks like autonomous manipulation and quality inspection. His work underscores the importance of calibration in advancing flexible automation, offering a stepping stone for researchers and engineers seeking to enhance robot perception and dexterity. Kim’s research resonates in fields where precision and adaptability are paramount, making him a contributor to the ongoing evolution of intelligent robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Hand/Eye Calibration Using 3D-3D Correspondences
2 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Seoul National University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago