Art yom Filatov

Saint Petersburg State Electrotechnical University

Papers

Total Citations

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About

Artem Filatov has made significant contributions to the field of autonomous mobile robotics, with a primary focus on the simultaneous localization and mapping (SLAM) problem—a critical challenge for enabling true robot autonomy. His most-cited work, "Evaluation of Modern Laser Based Indoor SLAM Algorithms" (2018, 29 citations), provides a comprehensive benchmarking of state-of-the-art laser-based SLAM approaches, offering essential guidance for researchers and practitioners seeking to implement robust navigation systems in indoor environments. This study systematically compares algorithmic performance across key metrics, helping to identify optimal solutions for real-world deployment. Filatov's research addresses the fundamental challenge of enabling robots to simultaneously estimate their pose while constructing accurate environmental maps, a capability vital for applications ranging from warehouse automation to domestic service robots. His work stands as a valuable resource for the robotics community, bridging theoretical algorithm development with practical implementation considerations. Through this influential evaluation, Filatov has helped advance the understanding of SLAM system trade-offs, contributing to the ongoing evolution of truly autonomous mobile systems.