Nataliya Boyko

Papers

Total Citations

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About

Nataliya Boyko is a researcher in robotics and artificial intelligence, with a primary focus on localization algorithms for autonomous systems. Her most cited work, "Histogram Filter for Robot Localization" (2021), provides a rigorous analysis of histogram filter methods for one-dimensional and two-dimensional spaces, including experimental validation on a mobile robotic platform. This contribution advances probabilistic localization techniques, offering a computationally efficient alternative to more complex filters like Kalman or particle filters, particularly in environments where discrete state representations are advantageous. With 2 citations, this paper has laid groundwork for further exploration in robot navigation and sensor fusion. Boyko’s research bridges theoretical algorithm development and practical robotics applications, making her work valuable for students and engineers seeking to understand or implement robust localization in resource-constrained settings. Her achievements demonstrate a commitment to accessible, experimental robotics research that informs both academic study and real-world deployment.