Enas A. Khalid
Papers
2
Total Citations
53
H-Index
2
About
Dr. Enas A. Khalid is a leading researcher in intelligent robotics and computer vision, with a focus on automating industrial manufacturing processes. Her work bridges the gap between real-time vision systems and robotic control, significantly enhancing precision and productivity in sectors such as welding and sorting. Her most cited paper, “A real-time automated sorting of robotic vision system based on the interactive design approach” (2019), has garnered 37 citations and established a foundational method for integrating interactive design with robotic perception. Building on this, her 2022 study “Intelligent Robotic Welding Based on a Computer Vision Technology Approach” (16 citations) introduces a novel image-processing technique for detecting welding line edges, enabling robots to initiate welds with greater accuracy and reducing human error. By advancing the use of computer vision for real-time decision-making in robotics, Dr. Khalid’s work directly supports the evolution of smart factories and automated quality control. Her contributions are particularly valuable for researchers and engineers developing adaptive, vision-guided robotic systems for high-stakes industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Intelligent Robotic Welding Based on a Computer Vision Technology Approach16 citations · 2022