Andrey Melnikov

Yugra State University, Chelyabinsk State University

Papers

Total Citations

H-Index

About

Andrey Melnikov is a researcher whose work bridges robotics, artificial intelligence, and archaeological technology. His key research areas include robot path planning in dynamic environments and the application of machine learning for cultural heritage detection. Melnikov’s major contributions include a novel heuristic algorithm for mobile robot navigation in unknown dynamic spaces, which offers theoretically validated computational complexity estimates and has been successfully applied to real-world problems. In 2024, he extended his expertise to archaeology by co-developing a method that combines Dynamic Graph CNN with FICP for detecting and studying archaeological sites, demonstrating the versatility of his AI-driven approaches. His most-cited paper on robot path planning (5 citations) and his recent archaeological work (6 citations) reflect a growing impact across disciplines. Melnikov’s work is notable for its practical orientation, with algorithms designed to solve specific applied challenges rather than remaining theoretical. His interdisciplinary approach—applying cutting-edge AI to both robotics and heritage science—positions him as a researcher who translates complex computational methods into tangible solutions for real-world exploration and automation.