Amr Yousef
Papers
2
Total Citations
11
H-Index
1
About
Dr. Amr Yousef is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on visual servoing and human-robot interaction. His most impactful work, "An Innovative Collision-Free Image-Based Visual Servoing Method for Mobile Robot Navigation Based on the Path Planning in the Image Plane" (2023, 10 citations), pioneers a novel approach to 2D visual servoing that enables mobile robots to navigate toward targets while autonomously avoiding obstacles and maintaining the target within the camera’s field of view—all using only a single monocular sensor. This breakthrough addresses a critical challenge in real-world robotics: safe, vision-only navigation in cluttered environments. More recently, Dr. Yousef introduced the Commuting Input Valuation Approach (CIVA) in his 2025 paper "Enhancing automated robotic services efficiency through intelligent dependent robotic computation," which dramatically improves service robots’ ability to interpret ambiguous user commands and adapt to dynamic, multi-scenario settings. His work bridges the gap between theoretical control systems and practical deployment, earning recognition for advancing autonomous service robotics. Dr. Yousef’s contributions are shaping the next generation of intelligent, collision-free robotic systems for domestic and industrial applications.
Research Focus
Key Achievements
Top Papers
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- 2