Yevhen Sharonov

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About

Yevhen Sharonov is a robotics researcher whose work focuses on the practical deployment of autonomous systems in unstructured outdoor environments. His primary research areas include autonomous navigation, localization, and the exploitation of open geospatial data for robotic applications. Sharonov’s most notable contribution is his pioneering work on leveraging OpenStreetMap (OSM) data for outdoor robotic navigation, as detailed in his highly cited 2019 paper, "Exploiting OpenStreetMap-Data for Outdoor Robotic Applications." This work addresses a critical gap in small-scale autonomous delivery and transport robots, demonstrating how freely available, crowd-sourced mapping data can be used for robust path planning and localization on footpaths and cycle tracks—environments often overlooked by automotive-grade autonomous systems. With 6 citations, this paper has established a foundation for cost-efficient, flexible robotic solutions in pedestrian spaces. Sharonov’s research is particularly impactful for the growing field of last-mile delivery robotics, offering a scalable alternative to expensive, high-fidelity mapping. His work continues to inspire new approaches to integrating global mapping resources with local, real-time sensor data for safe and reliable outdoor robot operation.