Papers

2

Total Citations

6

H-Index

2

About

Dongbin Shin is a robotics researcher whose work spans industrial automation, teleoperation, and human-robot interaction. His research focuses on developing intelligent robotic systems for complex manufacturing and maintenance environments, with a particular emphasis on making automation practical in real-world industrial settings. One of Shin's notable contributions is his work on robot-based shoe manufacturing systems, where he developed sophisticated robot path generation algorithms for upper roughing and cementing processes. This research demonstrates his ability to bridge the gap between traditional manufacturing methods and modern robotic automation, earning 4 citations since its publication in 2018. Shin has also made meaningful strides in the field of teleoperation, proposing a cooperative control framework for single-user multi-robot (SUMR) systems designed for offshore plant maintenance. This 2014 work, which has garnered 2 citations, addresses the challenging problem of enabling a single operator to effectively control multiple slave robots simultaneously in hazardous industrial environments. While still building his citation profile, Shin's research reflects a clear commitment to solving practical engineering challenges in automation and remote robotics. His work holds particular relevance for industries seeking to improve safety and efficiency through intelligent robotic solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robot-based Shoe Manufacturing System
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Korea Institute of Robot and Convergence, Daegu Gyeongbuk Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago