O. Fiodorova
Papers
2
Total Citations
7
H-Index
2
About
O. Fiodorova’s research lies at the intersection of mobile robotics, autonomous navigation, and environmental modeling, with a particular focus on enabling robots to perceive and move through known spaces with precision. Her work addresses fundamental challenges in robot localization and path planning, often leveraging formal methods to structure complex navigation tasks. In her most cited paper, “Mobile Robots Navigation Modeling in Known 2d Environment Based on Petri Nets” (2017, 4 citations), Fiodorova introduced a supervisor-guided system that uses vector marks on salient edges of a virtual map to direct robot movement, offering a novel framework for reliable, rule-based navigation. Her earlier study, “Detecting the Mobile Robot Position Using the Profile of Known Environment” (2013, 3 citations), tackled the critical problem of coordinate estimation by comparing virtual and real scanner profiles, optimizing position detection through profile mismatch criteria. Though her citation counts remain modest, Fiodorova’s contributions are notable for their methodological rigor and practical orientation, providing foundational insights into how robots can interpret and navigate structured environments. Her work continues to inform researchers interested in Petri net-based control and sensor-driven localization in robotics.
Research Focus
Key Achievements
Top Papers
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