K. V. Pitelinskiy

Papers

Total Citations

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About

K. V. Pitelinskiy is a researcher specializing in the intersection of robotics, artificial intelligence, and cybersecurity. Their work primarily focuses on securing industrial robotic systems through machine learning methods, as demonstrated in their most cited paper, "Machine learning methods for the industrial robotic systems security" (2023, 23 citations). This contribution addresses critical vulnerabilities in automated manufacturing environments. Pitelinskiy also explores the integration of Big Data technologies with mobile robotics, specifically improving navigation methods through SLAM (Simultaneous Localization and Mapping) techniques, as detailed in their 2023 paper on Big Data-driven navigation. Additionally, their 2021 review on bionic robotics provides a classification framework and analysis of foreign robotic samples, highlighting the potential of bio-inspired systems for practical applications. While their citation counts are modest, Pitelinskiy’s work demonstrates a forward-looking approach to combining data-driven methods with robotic security and navigation, offering foundational insights for students and researchers interested in the convergence of robotics, cybersecurity, and big data analytics.