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Amarilys Ben Attar is a leading researcher in the field of robotic friction stir welding (RFSW), a solid-state joining process that uses robots to weld aluminum parts. Her work addresses a critical challenge in RFSW: the elastic deformation of robot joints under the high forces generated during welding, which compromises weld quality. Ben Attar’s major contributions include developing innovative offline path planning algorithms based on Bézier curves and B-splines, which allow robots to follow complex three-dimensional welding paths with high precision. She also designed a feedforward deflection compensation scheme that corrects for robot deformation in real time, significantly improving weld accuracy. Her most cited paper, "A feedforward deflection compensation scheme coupled with an offline path planning for robotic friction stir welding" (2018, 18 citations), is a cornerstone in the field, demonstrating how to integrate path planning and compensation for robust industrial application. Ben Attar’s research has been presented at international conferences and published in leading journals, establishing her as a key figure in advancing RFSW for complex geometries and reducing the cost of FSW equipment. Her work is essential reading for engineers and researchers seeking to make robotic welding more reliable and flexible.