Zainur Romadhon
Papers
1
Total Citations
1
H-Index
1
About
Zainur Romadhon is a researcher in biomedical engineering and intelligent control systems, with a focus on integrating human physiological signals with robotic technologies. His most-cited work, “Robot mobile control based on three EMG signals using an artificial neural network” (2019), introduces a novel approach to controlling mobile robots through electromyographic (EMG) signals generated by jaw, right arm, and left arm muscle contractions. By employing an artificial neural network to classify peak EMG values, Romadhon demonstrates how non-invasive muscle signals can be translated into precise robot commands, offering a promising pathway for assistive robotics and human-machine interfaces. Although his citation count is modest, this work represents a foundational contribution to the field of biosignal-based control, with potential applications in rehabilitation and hands-free operation. Romadhon’s research bridges the gap between human physiology and autonomous systems, highlighting his commitment to developing accessible, intuitive technologies. His work continues to inspire students and researchers exploring the intersection of neural networks, signal processing, and robotics.
Research Focus
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Top Papers
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