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About

Yigon Kim is a pioneering researcher in the field of chaotic mobile robotics, with a focused expertise in obstacle avoidance and nonlinear dynamics. His major contributions lie in integrating chaos equations—such as the Van der Pol, Arnold, and Chua’s equations—into mobile robot navigation systems to generate unpredictable yet controllable trajectories. Kim’s seminal 2003 paper, "Obstacle Avoidance Methods in the Chaotic Mobile Robot with Integrated some Chaos Equation," which has garnered 12 citations, introduced a novel approach to treating obstacles as unstable limit cycles within a chaotic trajectory surface, enabling robots to evade collisions while maintaining chaotic motion. His subsequent works, including "The obstacle collision avoidance methods in the chaotic mobile robots" (5 citations) and "Chaotic behavior analysis in the mobile robot of embedding some chaotic equation with obstacle" (3 citations), further advanced the qualitative analysis of chaotic behavior through time-series and embedding phase techniques. Kim’s research is notable for bridging theoretical chaos theory with practical robotics, offering innovative solutions for autonomous navigation in complex environments. His work remains a foundational reference for researchers exploring chaos-based control systems in mobile robotics.