Seokyoung Kim

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About

Seokyoung Kim is a leading researcher in multi-robot systems and autonomous navigation, with a focus on operation in extreme and constrained environments. Her major contributions lie in developing practical, bio-inspired algorithms for complex task scheduling and real-time spatial intelligence. In her highly cited 2023 work, she pioneered a multi-robot task scheduling method using Ant Colony Optimization specifically tailored for the hazardous and unpredictable conditions of Antarctic environments, addressing critical risks in polar robotic operations. This paper has garnered 17 citations, establishing her as a key figure in extreme-environment robotics. Kim also advanced indoor autonomy with her 2021 development of a mobile multi-target search system that integrates 3D SLAM with object localization, enabling simultaneous map building and target recognition—a significant step beyond stationary search systems. With 5 citations, this work demonstrates her versatility in both terrestrial and indoor applications. Her research bridges the gap between theoretical optimization and field-ready deployment, making her work essential for students and engineers tackling real-world challenges in autonomous exploration and task allocation.