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About

Hatem Khater is a robotics and computational intelligence researcher whose work centers on trajectory optimization, path planning, and kinematic control of multi-degree-of-freedom robotic systems. His research has made significant contributions to solving one of robotics' most persistent challenges: efficiently planning and optimizing the motion of complex robotic arms under real-world constraints. Khater's most impactful work focuses on applying and developing nature-inspired metaheuristic algorithms — particularly the Whale Optimization Algorithm (WOA) and Genetic Algorithm (GA) — to address the inverse kinematics and trajectory planning problems inherent in 6 DOF robotic arms, such as the KUKA industrial platform. His 2025 paper introducing the novel hybrid WGA algorithm has already garnered 28 citations, demonstrating rapid community uptake. Across his portfolio, he consistently targets multi-objective optimization goals including minimizing travel time, energy consumption, and computational cost while ensuring reliability across diverse path configurations. With a growing body of work accumulating over 85 citations in just a few years, Khater has established himself as a productive voice in intelligent robotics. His research is particularly valuable for engineers and students seeking practical, algorithm-driven solutions to real-world robotic motion planning challenges in industrial automation environments.