Ryan A. Licitra

University of Florida, Universidade de Santiago de Compostela

Papers

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About

Ryan A. Licitra is a researcher specializing in control systems, robotics, and switched systems theory, with a particular focus on vision-based navigation and target tracking. His major contributions lie in developing novel mathematical frameworks that address a critical challenge in robotics: maintaining reliable state estimation and control when visual feedback is intermittently lost, such as when a target leaves the camera's field of view or is occluded. Licitra pioneered the use of dwell time conditions—a concept from switched systems—to guarantee convergence of state estimates and tracking performance even during temporary loss of visual data. His most cited work, "A Switched Systems Approach to Image-Based Localization of Targets That Temporarily Leave the Camera Field of View" (2017, 27 citations), establishes rigorous conditions for ensuring ultimate boundedness of estimation errors. In related work on wheeled mobile robots (2017, 11 citations), he extended these principles to vision-based tracking control, demonstrating how dwell time conditions can maintain system stability despite intermittent feedback. Licitra's research bridges theoretical control theory with practical robotics applications, offering mathematically grounded solutions for real-world challenges in autonomous navigation and surveillance. His work is particularly valuable for students and researchers interested in robust visual servoing, hybrid systems, and the intersection of control theory with computer vision.