Giuseppe Ruggeri

Papers

Total Citations

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About

Giuseppe Ruggeri is a researcher at the forefront of assistive and rehabilitation robotics, with a primary focus on brain-computer interfaces (BCIs) and human-robot interaction. His most cited work, "An Embedded EOG-based Brain Computer Interface System for Robotic Control" (2023), addresses a critical challenge in the field: generating fast, accurate control commands for robotic systems from biological signals. Ruggeri’s key contribution lies in developing an embedded electrooculography (EOG) based BCI that enables individuals with motor disabilities to intuitively control robotic devices using eye movements. This system leverages four distinct EOG signal types to translate ocular activity into reliable robotic commands, significantly improving response time and precision over traditional BCI approaches. While his citation count is still growing—reflecting the recent publication of his work—the practical impact of his research is substantial, offering a low-cost, non-invasive pathway to enhanced independence for users with severe motor impairments. Ruggeri’s work sits at the intersection of embedded systems, signal processing, and assistive technology, and his ongoing research continues to push the boundaries of how humans can seamlessly interface with machines for therapeutic and daily living applications.