Wajih Ahmed Khan
Papers
2
Total Citations
17
H-Index
2
About
Wajih Ahmed Khan is a rising researcher at the intersection of robotics, manufacturing, and intelligent automation. His primary research areas include robotic manipulation, computer vision, and advanced composite materials manufacturing. Khan’s major contributions center on enhancing industrial cobots with vision-based sensing to improve decision-making and precision in pick-and-place operations. His 2023 paper, "Vision-Based Hybrid Detection For Pick And Place Application In Robotic Manipulators" (11 citations), demonstrates how integrating vision with a UR5 cobot reduces positional uncertainty in cyber-physical systems—a critical step toward smarter, more autonomous factories. In 2024, he expanded his focus to high-performance materials with "Application of robotic manipulation for carbon fiber reinforced polymers manufacturing- A survey" (6 citations), which maps the growing role of robotics in producing lightweight, high-strength composites for aerospace and automotive sectors. Though early in his career, Khan’s work bridges practical industrial challenges with cutting-edge automation, showing clear potential to shape next-generation manufacturing systems. His research is particularly valuable for students and engineers interested in the convergence of robotics, vision, and materials science.
Research Focus
Key Achievements
Top Papers
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