Ide-Flore Kenmogne

Centre Inria de l'Université de Rennes, Centre National de la Recherche Scientifique, Université de Technologie de Compiègne

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About

Ide-Flore Kenmogne is a researcher specializing in autonomous robotics, with a core focus on localization and navigation for unmanned aerial vehicles (UAVs). Her key research areas include interval-based estimation, cooperative multi-robot systems, and vision-aided navigation. Kenmogne’s major contribution is the development of robust, bounded-error localization methods that guarantee a pose domain containing the true robot position, even under uncertain sensor measurements. Her most-cited work, "Image-based UAV localization using interval methods" (2017, 6 citations), introduces a technique using uncertain landmark observations to compute a guaranteed pose set. She extended this to cooperative scenarios in "Interval-Based Cooperative UAVs Pose Domain Characterization from Images and Ranges" (2018, 5 citations), combining distance and vision data across multiple UAVs to reduce uncertainty. Her 2020 paper on constraint propagation further refines cooperative localization. Kenmogne also contributed to global navigation architectures for urban robots (2015, 4 citations). Her work is notable for providing mathematically rigorous, set-membership approaches that enhance safety and reliability in autonomous flight, making her a key figure in interval-based robotics.