Safa El Hraiech
Papers
2
Total Citations
29
H-Index
2
About
Dr. Safa El Hraiech is a researcher specializing in the design optimization and error analysis of parallel robotic manipulators, with a particular focus on the 3-UPU translational parallel robot. Her major contributions lie in developing novel computational methods that combine genetic algorithms with interval analysis techniques to address complex multi-objective optimization challenges in robotics. In her most cited work (2019, 21 citations), she introduced a pioneering algorithm coupling genetic algorithms with the Krawczyk operator to simultaneously minimize position errors and optimize design parameter tolerances for the 3-UPU manipulator. Her earlier research (2018, 8 citations) established a robust framework for error estimation and sensitivity analysis, where she derived the robot's dynamic model using Newton-Euler formalism, validated it with ADAMS software, and proposed an interval analysis-based algorithm to quantify the impact of design parameter uncertainties. Dr. El Hraiech’s work is notable for bridging theoretical optimization methods with practical robotic design, offering engineers systematic tools to enhance precision and reliability in parallel manipulators. Her research has significant implications for manufacturing, medical robotics, and precision assembly applications, where minimizing positional errors is critical.
Research Focus
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Top Papers
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