Papers
21
Total Citations
172
H-Index
7
About
Aleksandr Andreev is a control systems researcher whose work sits at the intersection of robotics, nonlinear control theory, and stability analysis. His research focuses primarily on trajectory tracking control for robotic manipulators and mobile robots, with particular expertise in output feedback control strategies that eliminate the need for velocity measurements — a practically significant challenge given that many robotic platforms lack tachometers or velocity sensors. Among his most influential contributions, Andreev has developed rigorous Lyapunov-based frameworks for guaranteeing asymptotic stability in closed-loop robotic systems, earning 29 and 27 citations respectively for his work on manipulator trajectory tracking and cylindrical phase space formulations. His nonlinear PI and PID regulator designs for holonomic mechanical systems (19 citations) further demonstrate his commitment to bridging theoretical elegance with engineering applicability. Notably, he extended these methods to handle real-world complexities such as wheel slippage in omnidirectional mobile robots and displaced centers of mass — factors often neglected in idealized models. His more recent work exploring autonomous robot route planning using mivar technologies signals a broadening research agenda toward artificial intelligence integration. With cumulative citations exceeding 130 across diverse robotic platforms, Andreev has established himself as a productive voice in modern control-theoretic robotics research.
Research Focus
Key Achievements
Top Papers
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- 5On Output Feedback Trajectory Tracking Control of an Omni-Mobile Robot9 citations · 2019
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- 10Volterra Equations in the Control Problem of Mechanical Systems6 citations · 2019