Ahmed Sabri Kadhim

Papers

Total Citations

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About

Ahmed Sabri Kadhim is a researcher specializing in intelligent control systems, robotics, and computational intelligence. His work focuses on developing advanced hybrid controllers that integrate fuzzy logic, neural networks, and Petri nets for precise autonomous navigation. In his most cited paper, "Design fuzzy neural petri net controller for trajectory tracking control of mobile robot" (2018), Kadhim introduced a Fuzzy Neural Petri Net (FNPN) controller optimized by Particle Swarm Optimization (PSO) to solve path planning and trajectory tracking challenges for wheeled mobile robots. This innovative approach uses two FNPN controllers to achieve desired velocity and accurate path following, demonstrating significant potential for real-world autonomous systems. With 3 citations, this work has contributed to the growing field of intelligent robotics and control theory. Kadhim’s research bridges theoretical modeling and practical implementation, offering robust solutions for dynamic and uncertain environments. His contributions are valuable for students and researchers exploring adaptive control, swarm intelligence, and mobile robot autonomy, positioning him as a thoughtful voice in the development of next-generation robotic systems.