Jong Hyeong Kim

Seoul National University of Science and Technology

Papers

2

Total Citations

49

H-Index

2

About

Jong Hyeong Kim is a robotics and automation researcher whose work spans autonomous navigation, coverage path planning, and adaptive robotic manipulation. His most recognized contribution lies in the development of intelligent algorithms for mobile robots operating in unknown environments. His 2013 paper on scan matching online cell decomposition for coverage path planning demonstrated a significant advance in enabling robots to efficiently map and navigate unstructured spaces without prior environmental knowledge — a foundational challenge in autonomous robotics — earning 46 citations and establishing him as a meaningful contributor to the field of simultaneous localization and mapping (SLAM)-based planning strategies. More recently, Kim has expanded his research focus toward soft and flexible robotic systems. His 2020 work on a three-pneumatic-actuator flexible gripper reflects growing interest in adaptive end effectors capable of handling diverse objects in complex automation environments — a critical frontier as rigid grippers prove increasingly insufficient for modern industrial and service robotics demands. This transition from navigation algorithms to compliant manipulation systems highlights the breadth of Kim's engineering vision. His career reflects a consistent commitment to solving real-world robotics challenges, making his work valuable reading for students and researchers working at the intersection of autonomous systems and advanced mechatronics.

Research Focus

Key Achievements

2
H-Index
2
Papers
49
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Scan matching online cell decomposition for coverage path planning in an unknown environment
46 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Seoul National University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago