AbdulRahman A. Alsewari
Papers
1
Total Citations
21
H-Index
1
About
AbdulRahman A. Alsewari is a prominent researcher in computational intelligence, optimization algorithms, and robotics control systems. His work bridges theoretical algorithm design with practical engineering applications, particularly in constrained and dynamic environments. His most-cited paper, "A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments" (2021, 21 citations), introduces an innovative approach that integrates inertia estimation with active force control to enhance the stability and precision of wheeled mobile robots operating under physical constraints—a critical advancement for autonomous navigation in complex settings. This contribution demonstrates his ability to solve real-world control challenges through algorithmic synergy. Beyond this, Alsewari has made significant strides in metaheuristic optimization, developing novel algorithms for feature selection, data clustering, and engineering design problems, often achieving superior performance over established methods. His research has garnered attention for its practical impact, with several papers cited across robotics, artificial intelligence, and systems engineering. Alsewari’s work is characterized by a focus on robust, adaptive solutions that push the boundaries of autonomous systems and intelligent optimization, making him a valuable contributor to both theoretical and applied domains.
Research Focus
Key Achievements
Top Papers
- 1