Kyong Gi Kim
Papers
1
Total Citations
3
H-Index
1
About
Kyong Gi Kim is a researcher in intelligent robotics and control systems, with a focus on redundant manipulator motion planning. His most-cited work, "Intelligent control of redundant manipulators in an environment with obstacle" (2002), introduces a neural optimization network that dynamically adjusts joint weightings to balance dexterity and collision avoidance. By integrating fuzzy rules, Kim’s approach enables robots to navigate cluttered environments while maintaining efficient, safe motion—a critical contribution to industrial and service robotics. Though his citation count is modest (3 citations for this paper), his work represents an early, innovative fusion of neural networks and fuzzy logic for real-time robotic control. Kim’s research addresses fundamental challenges in autonomous manipulation, offering a foundation for later advances in adaptive, obstacle-aware robot behavior. His contributions are particularly relevant for students and researchers exploring intelligent control strategies in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1