Sayat Ibrayev
Papers
10
Total Citations
38
H-Index
4
About
Sayat Ibrayev is a robotics and mechanical engineering researcher whose work spans parallel manipulators, walking robot design, rehabilitation robotics, and autonomous mobile systems. His research career reflects a consistent focus on optimizing robotic locomotion and mechanism synthesis, with early contributions including the design of a RoboMech-class parallel manipulator (2016, 9 citations) and structural synthesis of agricultural legged robots engineered to minimize soil damage. A central thread throughout his work is the development of energy-efficient walking robot legs using straight-line generating mechanisms, including his innovative lambda-type six-link design and isotropy-based optimization frameworks, demonstrating rigorous theoretical grounding in kinematics and mechanism synthesis. In recent years, Ibrayev has expanded into applied intelligent robotics, contributing notable work on deep learning-driven EMG signal classification for lower limb exoskeleton control in rehabilitation settings (2024, 5 citations) and LiDAR-based SLAM for autonomous hospital service robots (2024, 4 citations). His 2024 DeepSurNet-NSGA II framework, which integrates deep surrogate modeling with multi-objective evolutionary algorithms for leg linkage optimization, exemplifies his growing expertise at the intersection of computational intelligence and mechanical design. Collectively, his publications have accumulated over 35 citations, positioning him as an emerging voice in intelligent robotic systems and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1Parallel Manipulator of a Class RoboMech9 citations · 2016
- 2Optimal synthesis of walking robot leg6 citations · 2023
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- 9Walking Robot Leg Design Based on Translatory Straight-Line Generator2 citations · 2020
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