Papers
2
Total Citations
9
H-Index
2
About
Yu. V. Morozov is a researcher specializing in control theory and robotics, with a particular focus on the dynamics and stabilization of wheeled robotic systems. Their work centers on the challenging problem of trajectory control for wheeled robots, examining how these systems can be guided and stabilized along prescribed paths using mathematically rigorous approaches. Morozov's most notable contributions involve the analysis of attraction domains — the regions within which a system's state will converge to a desired trajectory or invariant set. Their 2008 papers investigate planar motion control of wheeled robots equipped with driving rear wheels and steerable front wheels, using trajectory curvature as a key control parameter. By developing and applying numerical methods to estimate attraction domains, Morozov's research provides practical tools for assessing the stability and robustness of robot control strategies, translating complex nonlinear dynamics into actionable engineering insights. While Morozov's citation counts remain modest — with leading works receiving 5 and 4 citations respectively — the research addresses foundational questions in mobile robotics and nonlinear control that continue to be relevant as autonomous systems grow in prominence. Their contributions offer a valuable mathematical framework for researchers and engineers working on the safe and reliable control of ground-based robotic platforms.
Research Focus
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Top Papers
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