Joon-Hong Kim

Korea University

Papers

2

Total Citations

106

H-Index

2

About

Joon-Hong Kim is a leading researcher in human-robot interaction and safety, with a primary focus on collision detection and reaction systems for service robots. His work addresses a critical challenge in robotics: enabling robots to distinguish between intended physical contact and unexpected collisions, thereby ensuring human safety during close-proximity interactions. Kim’s most influential contributions include the development of a collision detection algorithm that uses residual observers to differentiate contact types, a method that has become foundational in the field. His 2012 paper on this topic has garnered 60 citations, while his related work on a 7-degree-of-freedom service robot arm has accumulated 46 citations, underscoring the practical impact of his research. By advancing robust, real-time safety mechanisms, Kim has helped pave the way for safer deployment of collaborative robots in domestic and industrial settings. His achievements are particularly notable for bridging theoretical modeling with real-world application, making his work essential reading for researchers and engineers designing human-aware robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
106
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Collision Detection Algorithm to Distinguish Between Intended Contact and Unexpected Collision
60 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Korea University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago