Dong-Guan Shin
Papers
1
Total Citations
2
H-Index
1
About
Dong-Guan Shin is a robotics researcher whose work focuses on the intersection of 3D modeling, trajectory generation, and industrial automation. His primary research areas include robotic path planning, point cloud processing, and manufacturing system optimization. Shin’s most notable contribution is his 2021 paper, "3-D Model-Based Trajectory Generation Algorithm for Robotic Shoe Sole Spray System," which has garnered 2 citations. In this work, he developed a novel method for generating precise robotic trajectories by extracting target points from a 3D mold model, employing point cloud transformation, Z-axis uppermost point extraction, and unnecessary point elimination. This approach significantly enhances the efficiency and accuracy of automated spray systems in footwear manufacturing, addressing critical challenges in industrial robotics. While his citation count is modest, the practical implications of his algorithm for real-world production lines underscore its value. Shin’s research demonstrates a keen ability to bridge theoretical robotics with tangible industrial applications, making his work relevant for students and researchers interested in automation, 3D modeling, and manufacturing innovation.
Research Focus
Key Achievements
Top Papers
- 1