Maryam Baluchzadeh

Papers

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About

Dr. Maryam Baluchzadeh is a robotics and control systems researcher whose work focuses on the precise and robust control of electrically driven robot manipulators. Her key contributions lie at the intersection of discrete optimal control and repetitive control, addressing two fundamental challenges in robotics: nonlinearity and uncertainty. In her most-cited work, "Modeling and Robust Discrete LQ Repetitive Control of Electrically Driven Robots" (2013, 12 citations), she developed a sophisticated framework that combines linear quadratic regulator theory with repetitive control to achieve high-precision tracking in robotic systems. Her second major paper, "Discrete optimal control for robot manipulators" (2013, 7 citations), directly confronts the dual problems of nonlinear dynamics and system uncertainty, proposing a discrete optimal control strategy that ensures stability and performance despite these inherent difficulties. Baluchzadeh’s research is particularly valuable for applications requiring repetitive motion tasks, such as industrial automation and assembly line robotics, where her methods improve accuracy and robustness. Her work has been cited in subsequent studies on advanced robotic control, demonstrating its relevance to ongoing efforts in making robotic manipulators more reliable and efficient in real-world environments.