Maxim Mornev

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About

Maxim Mornev is a researcher whose work lies at the intersection of robotics, sensor networks, and computational geometry, with a particular focus on solving fundamental placement and localisation problems. His key research areas include sensor placement for triangulation-based localisation and the optimal positioning of visual landmarks—critical challenges for autonomous mobile robots operating in real-world environments. Mornev’s major contributions address the inherent computational hardness of these problems, proposing frameworks that move beyond ad-hoc heuristics toward more systematic, solvable approaches. His most-cited paper, "The problem of sensor placement for triangulation-based localisation" (2011), has garnered 40 citations and highlights how deploying many sensors can serve as a valuable alternative to on-board localisation. A second influential work, "The Problem of Placement of Visual Landmarks" (2011, 17 citations), underscores his commitment to developing efficient software for robotic systems by tackling the complexity of landmark configuration. Mornev’s research is notable for its practical orientation, aiming to simplify the development of reliable robotic software while addressing the NP-hard nature of many related problems. His work continues to inform advances in sensor coverage and autonomous navigation.