Carmen Escolano
Papers
2
Total Citations
166
H-Index
2
About
Carmen Escolano is a pioneering researcher at the intersection of neuroscience and robotics, whose work has fundamentally advanced brain-computer interface (BCI) technology for assistive applications. Her primary research areas include noninvasive electroencephalogram (EEG)-based BCIs, telepresence robotics, and assistive technologies for individuals with severe motor disabilities. Escolano’s major contribution lies in developing the first fully operational brain-actuated telepresence system, which allows users to control a mobile robot in remote environments using only their brain signals. Her landmark 2011 paper, cited over 126 times, demonstrated a P300-based BCI integrated with autonomous navigation, enabling users to explore distant spaces via the Internet. This work was extended in her 2010 study with ALS patients, showing real-world viability and achieving 40 citations. Escolano’s innovations provide a tangible communication and interaction channel for people with locked-in syndrome or neurodegenerative diseases, offering them embodied presence in remote locations. Her achievements represent a critical step toward practical, noninvasive brain-controlled robotics, bridging the gap between laboratory prototypes and life-changing assistive technologies.
Research Focus
Key Achievements
Top Papers
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