Arman Ibrayeva
Papers
7
Total Citations
23
H-Index
3
About
Arman Ibrayeva is an emerging robotics researcher whose work spans walking robot design, mechanism optimization, and autonomous mobile systems. His research is particularly distinguished by contributions to legged robot locomotion, where he has pioneered innovative approaches to leg mechanism synthesis — most notably through his development of lambda-type and straight-line generating mechanisms that prioritize energy efficiency and control simplicity over conventional bio-inspired designs. Ibrayeva has applied sophisticated optimization frameworks to advance the field, including isotropy criteria for turning mechanism synthesis and, more recently, the DeepSurNet-NSGA II algorithm — a deep surrogate model-assisted multi-objective evolutionary approach — to enhance leg linkage performance. His work extends into practical applications, including an agricultural legged robot designed to minimize soil damage, reflecting a commitment to real-world impact. His 2024 contribution on LiDAR-based SLAM for hospital service robots further demonstrates his versatility across autonomous navigation and rehabilitation medicine contexts. With a growing body of work accumulating over 20 citations since 2019, Ibrayeva represents a productive voice in computational mechanism design and field robotics. His research appeals to engineers and roboticists seeking principled, mathematically grounded solutions to complex locomotion and navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1Optimal synthesis of walking robot leg6 citations · 2023
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- 7Walking Robot Leg Design Based on Translatory Straight-Line Generator2 citations · 2020