Graduated in 2014 from the St. Petersburg Electro technical University with a bachelor degree. Received master’s degree in 2016 from the same University.
Main research interests: software development, C++, creating algorithms.
SLAM algorithms related research framework for ROSProject supervisor: Kirill Krinkin
SLAM (Simultaneous Localization and mapping) is one of the most challenging problems for mobile platforms and there is a huge amount of modern SLAM algorithms. The choice of the algorithm that might be used in every particular problem requires prior knowledge about advantages and disadvantages of each algorithm. This paper presents the approach for comparison of SLAM algorithms that allows to find the most accurate one. The accent of research is made on 2D SLAM algorithms and the focus of analysis is 2D map that is built after algorithm performance. Three metrics for evaluation of maps are presented in this paper
Speed convergence of Fourier series of special formIzvestiya SPbGETU «LETI», June 2016
The Heaviside step function approximation with Taylor polynomial of exponentIzvestiya SPbGETU «LETI», April 2016
Mobile Robot Algorithms Laboratory Researcher