Papers
4
Total Citations
33
H-Index
3
About
Javier Castillo’s research lies at the compelling intersection of biomedical signal processing, assistive robotics, and neurodevelopmental disorders. His work focuses on decoding brain activity and leveraging mobile robotics to understand and support individuals with Autism Spectrum Disorder (ASD). A key contribution is his pioneering use of fractal dimension features from EEG signals, classified by neural networks and support vector machines, to interpret motor imagery for brain-computer interfaces—a foundational paper that has garnered 15 citations. In parallel, Castillo has developed innovative human-robot interaction frameworks, most notably a mobile robot system designed to autonomously detect a child’s location and maintain a safe, engaging proximity to encourage social interaction. His 2014 paper on this topic (9 citations) demonstrates how robots can serve as therapeutic tools. Further extending this work, he has proposed evaluation methods to quantify interaction quality and used EEG analysis to characterize emotional responses in children with autism during robot-assisted tasks (6 citations). By merging real-time neural data with robotic behavior, Castillo is advancing both assistive technology and our understanding of social cognition in ASD.
Research Focus
Key Achievements
Top Papers
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- 2Mobile robotics: A tool for interaction with children with autism9 citations · 2014
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