Dheyaaldeen Faez Sahib
Papers
1
Total Citations
9
H-Index
1
About
Dheyaaldeen Faez Sahib is a researcher at the forefront of intelligent control systems and mobile robotics, with a particular focus on optimizing autonomous navigation. His work centers on the development of advanced algorithms for trajectory tracking and motion control, notably through the integration of metaheuristic optimization with fractional-order control theory. His most-cited paper, "Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system" (2025), has already garnered 9 citations, demonstrating its immediate impact on the field. This contribution introduces a novel hybrid approach that significantly improves the precision and stability of omni-directional robots, addressing key challenges in real-time control. Sahib’s research bridges the gap between theoretical optimization methods and practical robotic applications, offering robust solutions for complex, multi-degree-of-freedom systems. His work is particularly relevant for students and engineers exploring the intersection of artificial intelligence, control engineering, and mechatronics, providing a clear pathway from algorithm design to hardware implementation.
Research Focus
Key Achievements
Top Papers
- 1