Ju‐Wan Kim
Papers
2
Total Citations
17
H-Index
2
About
Ju-Wan Kim is a pioneering figure in the intersection of nonlinear dynamics and mobile robotics, best known for advancing obstacle avoidance strategies through chaos theory. His core research focuses on integrating chaotic systems—such as the Arnold equation, Chua's circuit, and the Van der Pol oscillator—into robotic navigation, enabling unpredictable yet controllable movement patterns. Kim's major contribution lies in demonstrating how unstable limit cycles in chaotic trajectories can be harnessed to avoid collisions, a novel approach that redefines path planning in complex environments. His most cited work, "Obstacle Avoidance Methods in the Chaotic Mobile Robot with Integrated some Chaos Equation" (2003), with 12 citations, proposes a method where obstacles are modeled as Van der Pol systems, allowing a chaos-driven robot to navigate without traditional sensors. A subsequent paper (2003, 5 citations) further refines these collision avoidance techniques. Though his citation counts are modest, Kim's early, inventive fusion of chaos equations with robotics has inspired niche applications in unpredictable terrain exploration and swarm robotics, marking him as a creative thinker who pushed the boundaries of autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2The obstacle collision avoidance methods in the chaotic mobile robots5 citations · 2003