Yuka Ueda

Papers

Total Citations

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About

Yuka Ueda is a robotics researcher specializing in underactuated control systems and sensor-based robotics. Her work focuses on developing innovative control strategies for complex robotic platforms, particularly fire truck-type mobile robots with multiple inputs and outputs. Ueda's major contribution lies in applying invariant manifold theory to stabilize underactuated systems with three or more inputs, advancing beyond conventional two-input constraints. Her 2012 paper on fire truck robot stabilization (5 citations) demonstrates this approach by transforming kinematic models into chained forms to derive invariant manifolds. In sensor robotics, Ueda proposed a low-pass filter method for color sensors in line follower robots (2019, 6 citations), effectively reducing fluorescent lamp noise and signal variation. This practical solution enhances robot navigation reliability in real-world environments. While her citation counts reflect focused technical contributions, Ueda's work represents meaningful progress in underactuated control theory and sensor noise reduction, offering valuable insights for researchers developing multi-input robotic systems and improving sensor robustness in autonomous navigation applications.