Artyom Filatov

Saint Petersburg State Electrotechnical University

Papers

Total Citations

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About

Artyom Filatov is a robotics researcher whose work centers on solving core challenges in autonomous mobile robotics, particularly in simultaneous localization and mapping (SLAM) and system calibration. His most influential contribution, the 2018 paper "Evaluation of Modern Laser Based Indoor SLAM Algorithms" (29 citations), provides a critical benchmark for SLAM performance, addressing the fundamental problem of enabling robots to estimate their pose and build maps of unknown environments simultaneously. This work has become a key reference for researchers selecting and comparing laser-based SLAM solutions for indoor navigation. Filatov also tackles the practical hurdles of real-world robot deployment. In his 2021 paper "Autonomous Wheels And Camera Calibration In Duckietown Project" (4 citations), he developed a fully automatic calibration procedure for robot components, eliminating the need for error-prone human intervention. This contribution is particularly notable for its application in the Duckietown educational platform, where it streamlines the setup process for student and researcher teams. Through these efforts, Filatov bridges the gap between theoretical SLAM algorithms and the practical, autonomous operation of mobile robots.