Hyeon Woo Kim

University of California San Diego, Yeungnam University

Papers

Total Citations

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About

Hyeon Woo Kim is a robotics researcher whose work bridges biologically inspired design, autonomous systems, and multi-robot coordination. His most cited paper, “Design of an anthropomorphic robot head for studying autonomous development and learning” (2004, 27 citations), presents a platform that mimics human neck and eye movements to explore active vision and facial expression—a foundational contribution to developmental robotics. This work demonstrates his interest in creating robots that learn from their environment through embodied interaction. Kim also tackles applied challenges in sports robotics, as seen in his 2020 paper on path planning for sweeping robots in curling, where sensor fusion enables multi-robot teams to clean ice surfaces for optimal stone trajectories. Additionally, his 2014 work on dynamic modeling and control of multi-rotor flying robots provides unified mathematical frameworks for tri-, quad-, hexa-, and octocopter systems, supporting advances in urban surveillance and inspection. With a portfolio spanning anthropomorphic design, cooperative robotics, and aerial vehicle control, Kim’s research offers practical tools and theoretical insights for autonomous systems, making him a versatile contributor to modern robotics.