Sameh Askar
Papers
1
Total Citations
12
H-Index
1
About
Sameh Askar is a leading researcher in robotics and computational intelligence, whose work centers on advancing visual servoing and image registration techniques. His most-cited paper, "Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing" (2025, 12 citations), introduces a novel intensity-based image registration algorithm (IBIR) that leverages the Arithmetic Optimization Algorithm to enhance robotic control through visual feedback. This contribution addresses critical challenges in aligning images acquired at different times or from varying perspectives, enabling more precise and adaptive robotic movements. Askar’s research bridges optimization algorithms with real-world robotic applications, offering scalable solutions for automation and computer vision. His work has garnered attention for its practical impact on improving system accuracy and efficiency in dynamic environments. By integrating metaheuristic optimization with visual servoing, Askar has opened new pathways for intelligent robotics, making his contributions valuable for students and researchers exploring the intersection of artificial intelligence and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1