Wong Wei Kitt

Curtin University Sarawak, Universiti of Malaysia Sabah

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About

Wong Wei Kitt’s research lies at the intersection of biomedical engineering and intelligent robotics, with a primary focus on brain-computer interfaces and assistive technologies. His most influential work, “Electroencephalography (EEG) Based Control in Assistive Mobile Robots: A Review” (2016, 21 citations), provides a comprehensive synthesis of how EEG signals can be harnessed to control mobile robots, offering a pathway toward greater independence for disabled and elderly individuals. This review has become a foundational reference for researchers exploring non-invasive neural control systems. Earlier, Kitt explored soft computing approaches in aerial robotics, as seen in his work on control systems for unmanned airships (2010), where he demonstrated how fuzzy logic and neural networks can enhance flexibility over traditional model-based methods. Though less cited, this work reflects his broader interest in adaptive, intelligent control. Kitt’s contributions are particularly notable for bridging the gap between neural signal processing and practical robotic applications, making him a key figure in the development of user-friendly assistive technologies. His research continues to inspire innovations in rehabilitation robotics and human-machine interaction.