Mosab Ferwana
Papers
1
Total Citations
4
H-Index
1
About
Mosab Ferwana is a robotics and automation researcher whose work bridges mechanical design, control systems, and computer vision. His most-cited paper, "Vision Assisted SCARA Manipulator Design and Control Using Arduino and LabVIEW" (2017, 4 citations), exemplifies his hands-on approach to industrial robotics. In this work, Ferwana derived forward and inverse kinematics for a SCARA manipulator using Denavit-Hartenberg parameters, then integrated an Arduino-based control system with LabVIEW and a vision module for automated object pick-and-place tasks. This practical integration of low-cost hardware with sophisticated control algorithms demonstrates his commitment to accessible, real-world automation solutions. While his citation count is modest, the paper's focus on combining vision assistance with kinematic modeling addresses a key challenge in modern manufacturing—enabling robots to adapt to variable environments. Ferwana's work contributes to the growing field of affordable, vision-guided robotic systems, making him a notable figure in applied mechatronics and educational robotics. His research continues to inspire students and engineers seeking to implement intelligent automation using accessible platforms.
Research Focus
Key Achievements
Top Papers
- 1