Ahmed Shany Khusheef
Papers
2
Total Citations
10
H-Index
2
About
Ahmed Shany Khusheef is a robotics researcher whose work centers on industrial automation, mobile robot navigation, and the integration of vision systems with robotic control. His most cited paper, "An Approach For Integration Of Industrial Robot With Vision System And Simulation Software" (2011, 6 citations), presents a pioneering method for combining visual sensors with simulation tools to extend the capabilities of industrial robots—a contribution that enhances precision and adaptability in manufacturing environments. In his subsequent work, "Investigation on the Mobile Robot Navigation in an Unknown Environment" (2014, 4 citations), Khusheef tackles the complex challenge of designing autonomous navigation systems for mobile search robots operating in indoor spaces, offering a step-by-step construction approach that guides engineers in developing robots capable of locating and relocating target objects without prior environmental maps. Though his citation counts are modest, these contributions reflect foundational efforts in bridging simulation, vision, and real-world robotic autonomy. Khusheef’s research is particularly valuable for students and practitioners seeking practical, integrated solutions for industrial and service robotics, demonstrating how sensor fusion and systematic design can advance robotic functionality in unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Investigation on the Mobile Robot Navigation in an Unknown Environment4 citations · 2014