Yaser Alkayyali
Papers
1
Total Citations
4
H-Index
1
About
Yaser Alkayyali is a robotics and automation researcher whose work centers on integrating vision systems with robotic manipulators for industrial applications. His most cited paper, "Vision Assisted SCARA Manipulator Design and Control Using Arduino and LabVIEW" (2017, 4 citations), demonstrates his expertise in combining forward and inverse kinematics—derived using Denavit-Hartenberg parameters—with real-time visual feedback to enhance automated object picking and placing tasks. Alkayyali's contributions lie in bridging low-cost hardware platforms like Arduino with powerful software environments such as LabVIEW, making advanced robotic control more accessible for prototyping and education. His research addresses practical challenges in manufacturing automation, where vision-guided SCARA robots improve precision and adaptability. While his citation count is modest, his work represents foundational steps in affordable, vision-assisted robotics—a growing field with significant implications for small-scale industries and academic labs. Alkayyali’s approach emphasizes hands-on design and control, offering a template for integrating computer vision into robotic systems without prohibitive costs. His achievements highlight the potential of combining theoretical kinematics with practical implementation, inspiring students and researchers exploring low-cost automation solutions.
Research Focus
Key Achievements
Top Papers
- 1