Osama I. Elhamrawy
Papers
2
Total Citations
9
H-Index
2
About
Osama I. Elhamrawy is a robotics researcher specializing in the intersection of computer vision and intelligent control systems, with a primary focus on visual servoing for mobile robots. His major contributions lie in developing novel approaches that combine neural networks with advanced control theories to enhance robot autonomy. In his highly cited 2021 work, Elhamrawy introduced a new method for 2D visual servoing that integrates a neural network with variable structure control and flatness theory, addressing the critical challenge of estimating the interaction matrix and camera calibration. He extended this work in 2022, tackling the more complex problem of 3D visual servoing under real-world disturbances like target occlusion, by fusing pose estimation via neural networks with differential flatness theory. His research demonstrates a clear trajectory from 2D to 3D visual control, pushing the boundaries of how mobile robots perceive and interact with their environments. With a growing citation impact, Elhamrawy’s work is foundational for students and researchers interested in vision-based robot control, offering practical solutions for robust, autonomous navigation in dynamic and occluded settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2