Sherine M Antoun

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About

Sherine M. Antoun’s research lies at the intersection of bio-inspired robotics and autonomous navigation, with a focus on translating human sensory strategies into mobile robot systems. Her work uniquely draws from human navigation models—particularly those of blind individuals using echolocation and mobility aids—to develop robust, low-cost robotic guidance. Her most cited paper, “Landmark navigation with fuzzy logic” (2006, 6 citations), introduces a fuzzy-logic framework that emulates aeroplane dead reckoning for landmark-based robot navigation in realistic environments. In “Mimicking a blind person navigating a corridor using a K-Sonar with a mobile robot” (2010, 5 citations), she pioneers a wall-following system inspired by how blind people use the K-Sonar, offering novel insights into sensory substitution for robotics. Her “Software architecture for mobile robot navigation” (2008, 4 citations) addresses directed sensing and collision avoidance by mimicking echolocation, while “Wall Following with a Single Ultrasonic Sensor” (2010, 4 citations) demonstrates minimalist sensor strategies. Though her citation counts are modest, Antoun’s contributions are notable for their creative cross-disciplinary approach, merging assistive technology with autonomous navigation—a foundation for accessible, human-centered robotics.