Ali Aflakiyan

Papers

Total Citations

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About

Ali Aflakiyan’s research centers on the dynamic modeling, identification, and control of robotic systems, with a particular focus on parallel and cable-suspended architectures. His major contributions include pioneering the dynamic identification of the Novint Falcon haptic device, where he developed a precise CAD model and applied a white-box identification method to capture the system’s inertial and frictional properties—work that has garnered 23 citations and remains a reference for haptic device characterization. He has also advanced the computed torque control of cable-suspended parallel robots, addressing the critical challenge of maintaining tensile cable forces during motion, a problem especially acute in under-constrained configurations. This 2015 paper, with 10 citations, provides a rigorous framework for ensuring stability and performance in such robots. Aflakiyan’s work is notable for its practical engineering approach, bridging theoretical control strategies with real-world robotic hardware. His research has implications for haptic interfaces, rehabilitation robotics, and industrial automation, demonstrating a sustained impact on the field of robotics and control systems.