Saltanat Yussupova

Almaty University of Power Engineering and Telecommunications

Papers

Total Citations

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About

Saltanat Yussupova is an emerging researcher specializing in computer vision, robotics, and intelligent automation systems. Her work sits at the dynamic intersection of artificial vision and robotic manipulation, exploring how advanced imaging technologies can enhance the precision and autonomy of industrial robotic systems. Yussupova's most notable contributions include investigations into computer vision applications for manipulator control, where she examines how visual perception systems can be integrated into complex real-world manufacturing and healthcare environments. A particularly significant achievement is her development of an artificial vision system for a flexible delta robot manipulator, incorporating machine-to-machine (M2M) communication technologies to optimize real-time device interaction and improve overall system performance. Complementing this practical work, her comprehensive review of artificial vision for manipulators provides the research community with a valuable synthesis of the field's current landscape and future directions. With a cumulative citation count of 12 across her primary publications and research appearing in both 2023 and 2024, Yussupova demonstrates rapid scholarly productivity. Her work is particularly relevant for students and engineers interested in the convergence of computer vision, industrial robotics, and next-generation automation systems.