Mohammed K. Hamzah

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About

Mohammed K. Hamzah is a researcher whose work centers on robotics, autonomous systems, and intelligent control design. His most notable contribution lies in the development of advanced path planning algorithms and controller architectures for mobile robots. In his influential 2018 paper, which has accumulated 17 citations, Hamzah introduced two distinct collision-free path planning algorithms alongside a sophisticated nonlinear Multi-Input Multi-Output (MIMO) Proportional Integral Derivative (PID) Modified Elman Neural Network (MENN) controller — a hybrid approach that merges classical control theory with neural network intelligence to enhance robotic navigation performance. This work represents a meaningful step forward in enabling mobile robots to navigate complex environments autonomously and safely. By integrating machine learning-inspired architectures with traditional control frameworks, Hamzah's research bridges the gap between theoretical control systems and practical robotic implementation. His contributions are particularly relevant to researchers and engineers working in autonomous vehicle navigation, industrial robotics, and intelligent systems design, making his work a valuable reference point for those exploring the intersection of artificial intelligence and real-world robotic control challenges.