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About

Ilhwa Jeong is a robotics researcher whose work centers on intelligent control systems, mobile robot locomotion, and sensor-based velocity estimation. Her most influential paper, "Application of a self-organizing fuzzy control to the joint control of a Puma-760 robot" (2002, 8 citations), addresses critical limitations in self-organizing control algorithms—specifically quantization errors and computational delays—by proposing a combined control structure that enhances real-time performance for industrial robotic arms. In mobile robotics, Jeong made notable contributions to velocity estimation using an array of optical flow sensors (2007, 7 citations), deriving kinematic models that enable precise ground-relative motion sensing without wheel encoders. She also advanced the theoretical understanding of omnidirectional mobile robots through systematic isotropy analyses (2007, 3 and 2 citations), extending prior work to account for steering link offsets different from wheel radius—a practical configuration common in real-world caster wheeled robots. Though her citation counts are modest, Jeong’s work bridges control theory and practical robot design, offering foundational insights for researchers in fuzzy control, sensor fusion, and mobile robot kinematics. Her research remains relevant for engineers developing more responsive and accurate autonomous systems.