June-Sup Yi
Papers
10
Total Citations
162
H-Index
8
About
June-Sup Yi is a robotics researcher whose work bridges industrial automation and intelligent manipulation, with a focus on wire harness assembly, collaborative robotics, and dual-arm task planning. His most significant contributions lie in automating the challenging mating process of plug-in cable connectors—a notoriously difficult task in manufacturing due to tight tolerances and complex geometries. His 2019 paper on the tolerance dataset for this process has garnered 29 citations, while his subsequent work on connector recognition using image processing (26 citations) and passive alignment strategies for ribbon cables (9 citations) have advanced the state of the art in robotic assembly. Yi has also made notable contributions to robot dynamics, proposing a passivity-guaranteed friction model that accounts for temperature and load variations (20 citations), and to mobile robotics with a six-wheel rover design featuring emergency control for stair navigation (19 citations). His work on online task planning using mixed-integer programming for dual-arm cooking robots (16 citations) demonstrates the versatility of his optimization-based approach. Most recently, Yi has tackled the challenging problem of transparent object depth reconstruction (3 citations, 2024), extending his expertise to perception in mixed scenes. His research, totaling over 150 citations, is characterized by practical, industrially relevant solutions that combine rigorous modeling with real-world deployment considerations.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10