Grygoriy Sapozhnyk

Papers

Total Citations

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About

Grygoriy Sapozhnyk is a robotics researcher whose work centers on autonomous mobile robot navigation, particularly in environments with dynamic obstacles. His key contributions lie in improving local navigation methods by addressing the limitations of existing approaches. In his most cited work, "Mobile robot navigation method for environment with dynamical obstacles" (2009), Sapozhnyk critically analyzed global and local navigation techniques, identifying key deficiencies in how robots handle moving obstacles. He proposed an enhanced local navigation method based on potential fields that incorporates the gradient of direction to the goal, enabling more efficient and safer path planning in real-time. While his citation count remains modest, his research offers foundational insights for students and engineers developing autonomous systems in cluttered or unpredictable settings. Sapozhnyk’s work is particularly relevant for applications in service robotics, warehouse automation, and autonomous vehicles, where navigating around moving objects is critical. His method contributes to the broader goal of making mobile robots more adaptive and reliable in human-centered environments.