Efimia Panagiotaki

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About

Efimia Panagiotaki is a leading researcher in robotics and autonomous systems, with a focus on sensor perception and localisation in challenging environments. Her work centres on the use of millimetre-wave scanning radar for off-road navigation, addressing the limitations of traditional sensors like cameras and LiDAR in adverse conditions such as fog, dust, and uneven terrain. Her most cited paper, *The Oxford Offroad Radar Dataset* (2024), has already garnered 13 citations, reflecting its timely contribution to the field. This dataset provides a benchmark for developing robust localisation and scene understanding algorithms in unstructured, natural environments, filling a critical gap in existing urban-focused datasets. Panagiotaki’s contributions are pivotal for advancing autonomous vehicle capabilities beyond paved roads, enabling safer and more reliable operation in agricultural, forestry, and search-and-rescue applications. Her work is increasingly cited by both academic researchers and industry practitioners, underscoring its practical impact. By bridging the gap between theoretical sensor models and real-world deployment, Panagiotaki is shaping the future of resilient autonomous navigation.