Yi-Gon Kim
Papers
1
Total Citations
5
H-Index
1
About
Yi-Gon Kim is a pioneering researcher in the field of chaotic robotics, with a particular focus on embedding nonlinear dynamics into autonomous navigation systems. His most cited work, "The Target Searching Method in the Chaotic Mobile Robot Embedding BVP Model" (2007), introduces a novel approach where chaotic circuits—such as those based on Arnold’s equation and Chua’s circuit—are integrated into mobile robots to generate unpredictable yet deterministic trajectories for efficient area exploration. Kim’s key contribution lies in developing algorithms that enable robots to navigate complex environments by avoiding both fixed and hidden obstacles (modeled via the BVP system) while dynamically switching to concentrated target search upon detection. This work, with 5 citations, demonstrates early and influential thinking in chaos-based path planning, a niche but impactful area within robotics. By leveraging the ergodic properties of chaos, Kim’s research offers a compelling alternative to traditional search algorithms, particularly for tasks requiring thorough coverage without prior environmental knowledge. His contributions remain a reference point for researchers exploring bio-inspired and nonlinear control strategies in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1