Juliya Belinskaya

Papers

Total Citations

H-Index

About

Juliya Belinskaya is a roboticist specializing in autonomous navigation and motion planning for mobile robots operating in complex, dynamic environments. Her research focuses on integrating heuristic search algorithms with control theory to enable safe and efficient robot movement among both static and dynamic obstacles. In her most-cited work, "Safe Interval Path Planning and Flatness-Based Control for Navigation of a Mobile Robot among Static and Dynamic Obstacles" (2022), she introduced a multi-phase approach that combines safe interval path planning with differential flatness-based control for nonholonomic differential drive robots. This framework addresses the critical challenge of trajectory planning in real-time, ensuring collision-free navigation even as obstacles move unpredictably. With 5 citations, this paper represents a meaningful contribution to the field of mobile robotics, particularly for applications in warehouse automation, service robotics, and autonomous vehicles. Belinskaya’s work bridges the gap between theoretical path planning and practical control implementation, offering a robust solution for robots that must operate safely alongside humans and other moving agents. Her research continues to advance the reliability and autonomy of mobile systems in real-world settings.