Umut Orhan

Papers

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About

Umut Orhan is a researcher at the forefront of brain-computer interface (BCI) technology, with a focused expertise in electroencephalography (EEG)-based systems for assistive robotics. His most cited work, "Brain Interface to Control a Tele-Operated Robot" (2020, 15 citations), introduces a groundbreaking BCI system that enables users to reliably select among four commands every second using only brain signals. This system has been successfully applied to control tele-operated robots and wheelchairs, translating high-level cognitive commands into low-level robotic actions. Orhan's major contribution lies in bridging the gap between neural decoding and practical, real-time robotic control, offering a robust solution for individuals with severe motor disabilities. By achieving reliable command selection at a speed suitable for real-world navigation, his work demonstrates significant potential for restoring mobility and independence. Beyond this flagship study, Orhan continues to advance the field of neural engineering, focusing on making BCI systems more accessible, faster, and more intuitive. His research stands as a vital step toward seamless human-machine interaction, where thought alone can drive assistive technologies.