Nauman Ahmad

Papers

Total Citations

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About

Nauman Ahmad is a researcher whose work sits at the intersection of robotics, control systems, and artificial intelligence. His primary research areas include fuzzy logic control, neural network-based systems, and autonomous mobile robot navigation. In his most-cited work, "Comparative analysis of fuzzy logic and neural network based controllers for line tracking task in mobile robots" (2010), Ahmad made a significant contribution by designing and comparing two intelligent control architectures for differentially steered mobile robots. This study demonstrated how fuzzy logic and neural network controllers could effectively process inputs from an array of sixteen infrared sensors to perform precise line-tracking operations. Although his citation count (3) is modest, the paper represents foundational work in applying soft computing techniques to real-time robotic control challenges. Ahmad's research is notable for its practical approach to integrating sensor arrays with intelligent decision-making systems, offering valuable insights for students and researchers interested in autonomous navigation, embedded control, and the comparative performance of AI-driven controllers in mobile robotics.