Yusun Lim

Georgia Institute of Technology, Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Yusun Lim is a researcher whose work bridges game theory, evolutionary learning, and robotics. His primary research areas include stochastic stability in game theoretic learning and autonomous navigation for mobile robots. In his most cited paper, "Robustness of stochastic stability in game theoretic learning" (2013, 23 citations), Lim investigates how small, unstructured uncertainties and errors affect the long-run behavior of strategic interactions among players. This work provides critical insights into the reliability and predictive power of stochastic stability models, demonstrating that even minor perturbations can significantly alter equilibrium outcomes. His second notable contribution, "Evolutionary Univector Field-based Navigation with Collision Avoidance for Mobile Robot" (2008, 12 citations), applies evolutionary algorithms to develop efficient, collision-free path planning for autonomous robots. Lim's research has been cited by scholars in economics, computer science, and robotics, highlighting its interdisciplinary impact. His work is particularly valuable for students and researchers interested in understanding how learning dynamics and uncertainty shape strategic decision-making, as well as those developing robust navigation systems for real-world robotic applications.