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About

Svetlana Larionova is a robotics researcher whose work focuses on the life-saving application of autonomous systems for humanitarian demining. Her key research areas include sensor fusion, mobile robotics, and automated landmine detection. Larionova’s major contributions center on developing practical, multi-sensor strategies to enable robots to detect antipersonnel landmines without direct human involvement—a critical advancement given the dangerous and time-consuming nature of manual demining. Her most cited work, "Olfactory coordinated area coverage" (2006, 24 citations), explores bio-inspired navigation algorithms. She also pioneered a two-level sensor fusion strategy for pneumatic demining robots, presented in her 2005 paper (9 citations), which separates object/background classification tasks to improve detection reliability. Her 2006 work on feature selection for sensor fusion (6 citations) further refined autonomous detection capabilities, while her research on natural landmark detection (5 citations) addressed the practical challenge of mapping in unstructured outdoor environments. Larionova’s doctoral thesis, "Automated landmine detection by means of a mobile robot" (2008), synthesizes these contributions, demonstrating a sustained commitment to translating robotics research into tangible humanitarian impact.