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About

Hoyeon Yeom is a robotics researcher whose work bridges advanced control theory and bio-inspired mechanical design for legged systems. His primary research areas include robust nonlinear control, adaptive robotics, and energy-efficient locomotion. Yeom’s most influential contribution is the gain-adaptive robust backstepping controller for brushless DC motors (41 citations), which introduced a dual-loop architecture combining high-robustness inner control with adaptive outer gains—a method widely adopted for precision position tracking in electric motor systems. He further advanced servo control through a direct robust nonsingular terminal sliding mode controller (30 citations), integrating adaptive time-delay estimation for rigid robots. In legged robotics, Yeom has made notable strides in quadrupedal locomotion, including gait optimization via evolutionary computation (20 citations) and a dynamic stabilization algorithm using contact time modulation. His recent work on the Human-inspired Sensorized and Adaptive Foot (Hi-SAFEST) (6 citations) applies tensegrity principles to enhance robotic foot stability, reflecting his commitment to merging biological inspiration with rigorous engineering. Yeom’s research is characterized by its practical impact on motor control and robotic mobility, earning recognition across control systems and robotics communities.