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About

Hanan A. R. Akkar is a researcher specializing in robotics, intelligent control systems, and optimization algorithms, with a particular focus on robot manipulator control and autonomous mobile systems. Her work bridges theoretical kinematics and practical implementation, as demonstrated in her foundational 2016 study analyzing the kinematics of the 6-DOF DFROBOT robotic arm using LabVIEW, which laid groundwork for understanding joint movement and workspace control. Building on this, Akkar has made significant contributions to intelligent controller design, notably applying Particle Swarm Optimization (PSO) to tune PID and Sliding Mode Controllers for the PUMA 560 robot, and developing swarm-based approaches for optimizing nonlinear sliding mode controllers — both works earning 14 and 10 citations respectively. Her 2017 research introduced a novel Grass Root Optimization Algorithm paired with neural network-based path tracking for mobile robots, showcasing her innovative approach to metaheuristic algorithm development. Further extending her expertise, she explored fuzzy logic control implemented on FPGA hardware for 6-DOF systems. Collectively, her publications reflect a consistent commitment to advancing robust, intelligent robotic control through cutting-edge computational intelligence techniques.