Ibrahim Abdellatif
Papers
1
Total Citations
3
H-Index
1
About
Ibrahim Abdellatif is a control systems and robotics researcher whose work centers on the modeling, sensor fusion, and stabilization of inherently unstable dynamical systems. His most-cited paper, "Modelling and Control of a Self-Balancing Robot Using Sensor Fusion and LQR Controller" (2022), exemplifies his core contribution: developing robust control strategies for two-wheeled self-balancing robots (TWSBRs) by treating them as inverted pendulums. In this work, he integrates sensor fusion techniques with a Linear Quadratic Regulator (LQR) to achieve human-like balance, offering a comparative analysis of system performance under different control paradigms. Though early in his citation impact, his research addresses fundamental challenges in mechatronics—combining state-space modeling, real-time control, and sensor integration—with applications in autonomous mobile robotics and assistive devices. Abdellatif’s work is particularly notable for its practical, implementation-focused approach, bridging theoretical control theory and experimental robotics. As the field of self-balancing platforms grows in relevance for personal transportation and industrial automation, his contributions provide a valuable foundation for students and researchers exploring nonlinear dynamics, embedded control, and humanoid robotics.
Research Focus
Key Achievements
Top Papers
- 1