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About

Jae-Oh Lee is a robotics and control systems researcher whose work has made significant contributions to the field of single-wheel mobile robotics, particularly in the design and control of unicycle robots. His research focuses on dynamic modeling, balance control, and autonomous stabilization of these mechanically challenging platforms, which demand sophisticated control strategies to maintain equilibrium across multiple axes simultaneously. Lee's most influential contribution, "Decoupled Dynamic Control for Pitch and Roll Axes of the Unicycle Robot" (2012), has garnered 63 citations and introduced an elegant decoupled control architecture that independently governs pitch through mobile inverted pendulum methods and roll through reaction-wheel pendulum techniques. This framework became a foundational reference in unicycle robot research. His earlier work on dynamic modeling (2010) laid the theoretical groundwork, while his subsequent investigations into fuzzy sliding mode control demonstrated a commitment to developing robust, adaptive algorithms capable of handling the inherent nonlinearities and disturbances present in these systems. Across his body of work, Lee consistently explored hybrid intelligent control strategies, combining fuzzy logic with sliding mode approaches to achieve reliable attitude and directional control. With over 100 cumulative citations, his research has meaningfully advanced the understanding of underactuated robotic systems and continues to inform next-generation autonomous mobility solutions.