Mohamed Jasim Mohamed
Papers
6
Total Citations
60
H-Index
4
About
Mohamed Jasim Mohamed is a researcher specializing in intelligent control systems, robotics, and autonomous navigation, with a particular focus on developing advanced controllers for complex robotic systems. His most significant contributions lie in the design of neural network-enhanced PID and fractional-order PID (FOPID) controllers for multi-link rigid robot manipulators — systems characterized by nonlinearity, high coupling, and susceptibility to external disturbances and parameter uncertainties. Mohamed's most cited work (2023, 23 citations) introduced neural fractional order PID controllers for two-link robot manipulators, addressing longstanding challenges in precision and robustness. He has continued building on this foundation by integrating nature-inspired metaheuristic optimization algorithms — including the Zebra Optimization Algorithm, Coot Optimization Algorithm, and African Vultures Optimization — to auto-tune hybrid controllers, demonstrating a consistent commitment to combining bio-inspired computation with intelligent control theory. Beyond manipulator control, Mohamed has made contributions to autonomous systems more broadly, including 3D path planning for delivery quadcopters using A* and Dijkstra algorithms, and mobile robot navigation using enhanced genetic algorithms. His body of work, accumulating nearly 60 citations across six key publications, reflects a research trajectory bridging classical control theory with modern artificial intelligence techniques.
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