Stefano Locci

Papers

Total Citations

H-Index

About

Stefano Locci’s research lies at the intersection of brain-computer interfaces (BCIs) and assistive robotics, with a focus on translating neural signals into practical control systems for impaired patients. His most-cited work, “Evaluating commercial BCIs for moving robots” (2019), critically assesses non-invasive BCI technologies, demonstrating how low-cost, off-the-shelf devices can be harnessed to steer robotic platforms based on user intention. By bridging the gap between commercial EEG headsets and real-world robotic control, Locci’s contributions highlight the feasibility of accessible, patient-driven mobility aids. While his citation count (3) reflects a nascent stage of impact, his work is foundational for researchers exploring affordable BCI applications. Locci’s research underscores a commitment to democratizing assistive technology, offering a pragmatic pathway from laboratory prototypes to deployable solutions that could enhance independence for individuals with severe motor impairments.