Emine Canigur

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About

Emine Canigur is a researcher specializing in adaptive control systems and mobile robotics, with a particular focus on the challenging problem of trajectory tracking for nonholonomic wheeled mobile robots. Her work addresses one of robotics' fundamental difficulties: controlling robot motion when the dynamic model contains parametric uncertainties, a common real-world complication that can significantly degrade performance. Canigur's most notable contribution is her development of Model Reference Adaptive Control (MRAC) schemes tailored specifically for nonholonomic wheeled mobile robots. Her 2012 paper, which has accumulated 21 citations, introduced an integrated control architecture combining kinematic and dynamic controllers to achieve robust trajectory tracking despite model uncertainty. This work demonstrated a practical pathway for deploying adaptive controllers in robotic platforms where precise system parameters may be unknown or variable. Her subsequent 2013 study extended this framework through a direct MRAC approach, further refining the integration of kinematic and dynamic control layers. While her citation profile is still developing, her 2012 contribution has established a meaningful presence in the adaptive robotics control literature. Students and researchers working on autonomous mobile robot navigation, particularly those grappling with model uncertainty and adaptive control design, will find her methodology both theoretically grounded and practically relevant.