Max Robotics — Global Service Robot Directory + US Certification

About

Abdelrahman T. Elgohr is an emerging robotics and automation researcher whose work centers on trajectory optimization, path planning, and intelligent control systems for robotic manipulators. His research has made notable contributions to the optimization of six-degree-of-freedom (6 DOF) robotic arms, with a particular focus on applying bio-inspired metaheuristic algorithms — including the Whale Optimization Algorithm (WOA), Genetic Algorithm (GA), and his innovative hybrid WGA technique — to solve complex inverse kinematics problems under multi-objective constraints such as time and energy minimization. His most cited work, published in 2025 with 28 citations, demonstrates that the hybrid WGA approach consistently outperforms its individual counterparts across multiple path configurations, establishing a meaningful benchmark in robotic motion planning. Collectively, his trajectory-focused publications have amassed over 85 citations, reflecting strong community recognition. Beyond robotics, Elgohr has extended his expertise to renewable energy automation, exploring how automated technologies can enhance photovoltaic panel performance. His 2025 review of robotic arm control evolution further signals his commitment to synthesizing cutting-edge developments — from kinematics to brain-computer interfaces — making his work highly valuable for students and practitioners navigating the rapidly advancing field of intelligent robotics.