Ali Rouhollahi
Papers
2
Total Citations
12
H-Index
2
About
Ali Rouhollahi is a robotics researcher whose work centers on the design, kinematics, and control of parallel manipulators, with a particular focus on high-speed automation and visual servoing. His major contributions lie in the experimental development of a 4-degree-of-freedom (DOF) Delta parallel robot, where he detailed the inverse kinematic model and constructed a full experimental setup integrating servo drivers and mechanical components. This foundational work, published in 2017, has garnered 6 citations and established a practical framework for Delta robot control. Expanding on this, Rouhollahi advanced the field by incorporating computer vision into robotic manipulation. In his 2018 study, he implemented a visual servoing system on a Quattro-style 4-DOF parallel robot, using the OpenCV library for real-time object detection and pick-and-place operations. This work, also with 6 citations, demonstrates his ability to bridge theoretical kinematics with practical, vision-guided automation. Rouhollahi’s research is notable for its hands-on, experimental approach, providing valuable insights for students and engineers working on parallel robotics, industrial automation, and vision-based control systems.
Research Focus
Key Achievements
Top Papers
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- 2