Maksym Yakymets
Papers
1
Total Citations
6
H-Index
1
About
Maksym Yakymets is a roboticist focused on advancing autonomous navigation for outdoor mobile robots, particularly in pedestrian and mixed-traffic environments. His key research areas include leveraging open geospatial data for robotic perception and path planning, with a strong emphasis on practical, real-world deployment. His most cited work, "Exploiting OpenStreetMap-Data for Outdoor Robotic Applications" (2019), demonstrates how freely available mapping data can be used to enable cost-effective, semi-autonomous navigation for delivery and transport robots on footpaths and cycle tracks—a critical step toward integrating smaller robotic systems into urban infrastructure. With 6 citations, this paper has helped lay groundwork for accessible, map-based autonomy without reliance on expensive sensor suites. Yakymets’ contributions highlight the potential of combining open-source data with robotics to create flexible, efficient solutions for last-mile logistics and outdoor service robots. His work is particularly relevant for researchers and engineers seeking to bridge the gap between autonomous driving on roads and the more constrained, unpredictable environments of pedestrian pathways.
Research Focus
Key Achievements
Top Papers
- 1Exploiting OpenStreetMap-Data for Outdoor Robotic Applications6 citations · 2019