Yesset Raziyev

Papers

Total Citations

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About

Yesset Raziyev is a researcher focused on the intersection of robotics, control systems, and human-robot interaction, with a particular emphasis on assistive technologies. His key research areas include power assist devices, fuzzy logic control, and PID speed regulation for human-robot cooperation. Raziyev’s major contribution is the development of a one-degree-of-freedom (1DOF) power assist lifting device, detailed in his most-cited paper, "Development of a Power Assist Lifting Device With a Fuzzy PID Speed Regulator" (2019, 11 citations). This work addresses critical challenges in industrial ergonomics by designing an intuitive system that reduces physical strain on operators during lifting tasks. By examining existing control approaches and prioritizing seamless human-robot collaboration, Raziyev’s device enhances both safety and efficiency. His research has practical implications for manufacturing and logistics, where repetitive lifting poses injury risks. While his citation count is modest, his work represents a foundational step in accessible assistive robotics, demonstrating a commitment to solving real-world problems through innovative mechanical and control design. Raziyev’s contributions are particularly valuable for students and researchers exploring human-centered automation and adaptive control strategies.