Ahmed Ibraheem Abdulkareem
Papers
3
Total Citations
92
H-Index
3
About
Ahmed Ibraheem Abdulkareem is a leading researcher in robotics and control systems, with a focus on advancing the precision and stability of parallel robots and mobile robots. His major contributions include the design of augmented nonlinear PD (ANPD) controllers for Delta/Par4-like parallel robots, where he proved stability using Lyapunov methods—a key step in improving robotic accuracy under dynamic conditions. He also pioneered a nonlinear neural network fractional-order PID (NNFOPID) controller for differential drive mobile robots, optimized by an enhanced fruit fly algorithm, achieving superior trajectory tracking. His work has garnered significant attention, with his top-cited paper (2019) accumulating 44 citations and his 2022 study reaching 36 citations. Additionally, his comprehensive 2025 review of control techniques for various parallel robots (12 citations) serves as a vital resource for researchers, covering systems from 2 DOF to 6 DOF. Abdulkareem’s innovative fusion of nonlinear control, neural networks, and bio-inspired optimization marks him as a pivotal figure in modern robotics, bridging theory and practical application for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Design of Augmented Nonlinear PD Controller of Delta/Par4-Like Robot44 citations · 2019
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