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About

Lubov Ivanova is a researcher specializing in robotics, mathematical modeling, and intelligent control systems, with a focus on advancing the capabilities of robotic manipulators. Her major contributions include developing a general method for constructing mathematical models of multi-link robot-manipulators, as detailed in her most-cited paper, "Mathematical Modeling of the Dynamics of 3-DOF Robot-Manipulator with Software Control" (2020, 18 citations). This work provides kinematic equations and differential dynamics equations for three-degree-of-freedom manipulators, enabling software control applications. Ivanova further innovated in machine learning by applying Neural ODE with an embedded hybrid method for intelligent manipulator control in non-deterministic environments (2021, 11 citations), reducing computational resource demands. Her research also addresses practical challenges in industrial automation, such as optimizing industrial robot motion for low-cost manipulators without expensive sensors (2020, 10 citations) and protecting robotic arms from external base vibrations (2020, 4 citations). Notable achievements include her work on hybrid trajectory optimization for service logistics robots (2022, 2 citations) and a transformation method for nonlinear manipulator models (2021, 2 citations), enhancing performance in production and management systems. With a cumulative impact of over 45 citations, Ivanova’s research bridges theoretical modeling and real-world robotics applications.