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About

Uk-Youl Huh is a robotics and control systems researcher whose work has significantly advanced the fields of autonomous mobile robotics, path planning, and robot stability. Based at a South Korean institution, Huh has dedicated his career to solving fundamental challenges in robot navigation and motion control, accumulating over 130 citations across his most influential works. Huh's most celebrated contribution, his 2003 paper on path planning and navigation for autonomous mobile robots (32 citations), established foundational frameworks balancing speed, accuracy, and safety in robot navigation. This work laid groundwork for his subsequent research developing safe-space-based path planning (20 citations) and modified A* algorithms (6 citations), demonstrating a sustained commitment to robust autonomous navigation. His 2015 studies introduced mathematically elegant solutions, including curvature-continuous 3D path planning using QPMI methods and G² continuity smooth path planning with cubic polynomial interpolation, enabling smoother, more efficient robot movement. Beyond navigation, Huh has made notable contributions to biped robot stability through zero moment point control (21 citations), disturbance observer design for backlash compensation (22 citations), and slip-recovery systems using fuzzy logic for wheeled robots. His interdisciplinary approach — merging control theory, artificial intelligence, and mechanical modeling — makes his body of work an essential reference for researchers developing next-generation autonomous robotic systems.