Kyoungseok Han
Papers
1
Total Citations
1
H-Index
1
About
Kyoungseok Han is a rising force in autonomous systems, with a research focus on game-theoretic decision-making and motion planning for mobile robots in competitive, high-stakes environments. His work centers on developing algorithms that enable robots to anticipate and strategically respond to adversarial agents, particularly in racing scenarios where real-time, competition-aware choices are critical. In his notable 2024 paper, "Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios," Han introduces a novel framework that constructs a library of trajectory candidates and a reward matrix to model interactions between an ego agent and an overtaking opponent. By selecting the trajectory that maximizes the ego agent's competitive advantage—such as blocking an opponent's pass—his approach bridges game theory and practical robotics, offering a scalable solution for dynamic, multi-agent settings. While his citation count is still growing, this work has already garnered attention for its innovative blend of strategic reasoning and real-time feasibility. Han's contributions are paving the way for more intelligent, autonomous vehicles and robots capable of navigating not just physical space, but the strategic landscape of competition.
Research Focus
Key Achievements
Top Papers
- 1