Pouya Jamali

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About

Pouya Jamali is a robotics and mechatronics researcher whose work sits at the intersection of robotic modeling, simulation, and intelligent control systems. His research focuses primarily on the dynamics and control of robot manipulators and mobile robotic platforms, with particular emphasis on developing practical, software-driven approaches to complex engineering problems. Jamali's most notable contribution involves the virtual prototype modeling and multi-variable optimal control of a 3-DOF SCARA robot, leveraging integrated software environments including SolidWorks, MATLAB, and SimMechanics — a methodology that has attracted 6 citations and offers researchers a streamlined pathway from design to simulation. His investigations into Mecanum-wheeled omnidirectional mobile robots (MWORs) further demonstrate his commitment to tackling challenging kinematics and dynamics problems, proposing fuzzy logic-based control schemes that circumvent the limitations of purely analytical modeling approaches. Across multiple publications, Jamali has consistently championed intelligent control frameworks — including fuzzy controllers — as effective solutions for benchmark control problems in omni-directional robotics. While his citation counts remain modest, his work provides valuable practical tools and methodologies for graduate students and engineers working in mobile manipulation, mechatronics system design, and autonomous robotic control.