Awatef Aouf
Papers
3
Total Citations
77
H-Index
3
About
Awatef Aouf is a leading researcher in intelligent mobile robotics, specializing in autonomous navigation and adaptive control systems. Her work focuses on developing advanced computational intelligence techniques—particularly fuzzy logic, neuro-fuzzy systems, and metaheuristic optimization algorithms—to enable mobile robots to navigate safely and efficiently in unknown, dynamic environments. Aouf’s major contributions include pioneering the use of Teaching-Learning-Based Optimization (TLBO) to train Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for robot navigation, as well as designing a novel Same Fuzzy Logic Controller that simplifies control architecture while maintaining robust performance. Her most cited paper, “TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment” (2018, 32 citations), demonstrates a novel evolutionary approach to path planning. Her work on PID controller tuning using Particle Swarm Optimization (PSO) for complex dynamic environments (2017, 14 citations) further underscores her impact. With a growing citation record and a focus on practical, real-time solutions, Aouf’s research is highly relevant for students and engineers working at the intersection of robotics, control theory, and artificial intelligence.
Research Focus
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