Basil Shukr Mahmood

Papers

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About

Dr. Basil Shukr Mahmood is a leading researcher in autonomous robotics and intelligent control systems, with a focus on developing adaptive navigation solutions for mobile robots. His most cited work, "Artificial Techniques Based on Neural Network and Fuzzy Logic Combination Approach for Avoiding Dynamic Obstacles" (2022), introduces a hybrid framework that integrates A* path planning with neural network-based zone classification and fuzzy logic decision-making, enabling robots to navigate safely around moving obstacles without human intervention. This approach has garnered 4 citations and represents a significant step toward low-cost, real-time autonomous navigation. Dr. Mahmood’s research bridges artificial intelligence and robotics, addressing critical challenges in dynamic environment perception and collision avoidance. His contributions are particularly valuable for applications in service robotics, warehouse automation, and autonomous vehicles. By combining neural networks for environmental understanding with fuzzy logic for robust control, he has advanced the field of intelligent motion planning. Dr. Mahmood continues to explore novel AI-driven strategies for enhancing robot autonomy, making his work essential reading for students and researchers in robotics and computational intelligence.