Hannaneh Z. Arabshahi

Papers

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About

Hannaneh Z. Arabshahi is a robotics researcher whose work focuses on the control and manipulation of parallel robotic systems, with a particular emphasis on the 3RPS parallel manipulator. Her research integrates advanced control theory with practical robotic applications, addressing key challenges in force control, motion tracking, and real-time object interaction. Arabshahi’s most cited work, "Impedance control of the 3RPS parallel manipulator" (2014, 9 citations), develops a model-based impedance control strategy that harmonizes force and motion variables, providing a robust framework for dynamic robot-environment interaction. She further advances this field in "Comparison of motion control techniques for a 3RPS parallel manipulator" (2015, 2 citations), where she evaluates model-based control methods to minimize tracking errors under noise and external disturbances. Demonstrating versatility, her paper "Time optimized digital image processing of ball and plate system using artificial neural network" (2015, 5 citations) applies neural networks to enhance real-time positioning for robotic systems interacting with moving objects. Through her focused contributions, Arabshahi has laid important groundwork for improving the precision and adaptability of parallel manipulators, making her work valuable for researchers in robotics, control systems, and automation.