Valeri Ugrinovskii
Papers
2
Total Citations
18
H-Index
2
About
Valeri Ugrinovskii is a leading researcher in robotics and control systems, with a focus on autonomous navigation, multi-agent coordination, and extremum-seeking control. His work bridges theoretical control design and practical implementation, particularly in the localization and cooperative behavior of mobile robots. One of his most influential contributions is the development of an Extended Kalman Filter (EKF)-based algorithm for indoor and outdoor robot localization, which fuses data from wheel encoders, gyroscopes, accelerometers, and DGPS to achieve robust positioning—a paper that has garnered 12 citations for its experimental validation. In another notable study (6 citations), Ugrinovskii proposed a planar cooperative extremum-seeking control scheme for a three-robot formation, guaranteeing convergence to the maximizer of an unknown two-dimensional signal field. This work advances the field of distributed robotic search and formation control. His research is highly relevant for students and engineers working on sensor fusion, autonomous systems, and multi-robot coordination, offering both rigorous theoretical guarantees and real-world applicability.
Research Focus
Key Achievements
Top Papers
- 1
- 2