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About

Siti Zaiton Mohd Hashim is a leading researcher in intelligent robotics and computational intelligence, with a focus on developing novel control and navigation systems for autonomous mobile robots. Her work bridges weightless neural networks, fuzzy logic systems, and swarm intelligence to create efficient, low-computation solutions for real-time robot navigation. Notably, her most-cited paper (20 citations) introduces a modular weightless neural network architecture that overcomes the slow learning limitations of traditional multilayer perceptrons, offering faster and more practical alternatives for intelligent navigation. She has also pioneered the integration of type-2 fuzzy controllers with embedded microcontrollers for sensor-based mobile robot behavior, and developed RAM-network-based type-2 fuzzy neural systems for environmental recognition. Her research extends to nonlinear dynamic modelling of flexible beam structures using neural networks, with applications to aircraft wings and robot arms. More recently, she has explored swarm robotics control by combining fuzzy logic with particle swarm optimization (Fuzzy-PSO) to enable coordinated multi-robot target achievement in unknown environments. Through her diverse contributions, Dr. Hashim has advanced the practical deployment of intelligent control systems in robotics, demonstrating significant impact in both theoretical development and embedded hardware implementation.