Arif Bramantoro
Papers
1
Total Citations
3
H-Index
1
About
Arif Bramantoro is a researcher whose work bridges the frontiers of human-robot interaction and biomedical signal processing. His primary research areas include brain-computer interfaces (BCI), emotion recognition using EEG signals, and social robotics. Bramantoro’s most notable contribution is his pioneering study on the profound correlation between human emotional states and NAO-robot interaction, where he developed a system that enables a humanoid robot to interpret facial expressions controlled directly by EEG sensor data. This work, published in 2018, has garnered 3 citations and stands out for its innovative integration of time-frequency analysis with real-time robotic response, offering a novel framework for assistive and communicative technologies. By demonstrating that brainwave patterns can reliably drive robotic facial expressions, Bramantoro has opened new pathways for non-verbal, hands-free human-robot communication. His research holds significant promise for applications in rehabilitation, therapy, and human augmentation, making him a notable figure in the evolving landscape of affective computing and intelligent robotics.
Research Focus
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Top Papers
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