Fazal Muhammad

City University of Science and Information Technology

Papers

Total Citations

H-Index

About

Fazal Muhammad is a leading researcher in robotics and control systems, with a primary focus on intelligent fault-tolerant control and motion planning for autonomous mobile robots. His most cited work, "Fuzzy-Based Fault-Tolerant Control for Omnidirectional Mobile Robot" (2020, 52 citations), addresses the critical challenge of ensuring reliable robot navigation in obstacle-filled environments. By leveraging fuzzy logic's rapid response capabilities over traditional nonlinear controllers, Muhammad developed a robust framework that enables omnidirectional robots to maintain stable, collision-free paths even under actuator faults or system uncertainties. This contribution is pivotal for real-world applications in manufacturing, logistics, and service robotics, where system resilience is paramount. With over 50 citations on this single paper, his research has significantly influenced the field of fault-tolerant control, demonstrating how intelligent algorithms can enhance robot autonomy and safety. Muhammad's work bridges theoretical control theory with practical robotic implementations, offering students and engineers a compelling model for designing more reliable and adaptive mobile systems.