Hyeon Min Jo

Changwon National University

Papers

2

Total Citations

7

H-Index

2

About

Hyeon Min Jo’s research focuses on the mechanical design and optimization of industrial robotic systems, with a particular emphasis on articulated robots for advanced manufacturing. His major contribution lies in the optimal wrist design of wrist-hollow type six-axis articulated robots, a critical innovation for arc-welding applications in automotive part production. By applying genetic algorithms to structural optimization, Jo demonstrated how a hollow wrist architecture improves welding wire feedability, enabling stable, high-quality welding regardless of robot posture. This design shortens welding cycle times and enhances process reliability, directly addressing industry needs for efficiency and precision. Although his most-cited works have accumulated modest citation counts (4 and 3 citations), their practical significance is underscored by their direct relevance to real-world manufacturing challenges. Jo’s work exemplifies how targeted mechanical optimization can yield tangible productivity gains, making him a notable contributor to the field of industrial robotics. His research bridges theoretical design methods and applied engineering, offering valuable insights for students and engineers seeking to improve robotic performance in high-stakes production environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Wrist Design of Wrist-Hollow type 6-axis Articulated Robot using Genetic Algorithm
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Changwon National University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago