Eleonora S. Shevketova

Papers

Total Citations

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About

Eleonora S. Shevketova is a rising researcher in robotics and artificial intelligence, with a focus on autonomous systems and logistics optimization. Her work centers on developing algorithms for unmanned aerial vehicles (UAVs) to navigate complex, hard-to-reach environments, addressing critical challenges in cargo delivery. In her 2023 paper, "Algorithm for Finding a Descriptive Path for Delivering Cargo to Hard-to-Reach Areas," she proposes a novel pathfinding method that leverages AI to enhance UAV efficiency in inaccessible terrains, reflecting the rapid growth of drone technology across economic sectors. While her citation count is currently modest—with one citation for this key work—her research aligns with the expanding UAV market, positioning her as an emerging voice in autonomous delivery systems. Shevketova’s contributions are particularly relevant as industries increasingly adopt drones for logistics, disaster response, and remote area access. Her work underscores the potential of AI-driven robotics to transform transportation, making her a researcher to watch in the evolving field of intelligent aerial systems.