Egidio De Benedetto
Papers
6
Total Citations
57
H-Index
4
About
Egidio De Benedetto is a pioneering researcher at the intersection of biomedical engineering, cyber-physical systems, and soft robotics. His work is defined by two transformative threads: developing wearable, augmented reality (AR)-based brain-computer interfaces (BCIs) for pediatric healthcare, and designing soft growing robots for measurement in remote environments. In his most cited work (19 citations), De Benedetto introduced a single-channel BCI using Steady-State Visually Evoked Potentials (SSVEPs) and AR to enable children with ADHD to control a social robot, directly improving therapy adherence. Follow-up studies (7 citations) confirmed the system’s effectiveness, marking a significant step toward non-invasive, engaging neurorehabilitation. Simultaneously, he advanced cyber-physical measurement systems (CPMS), proposing a Health 4.0 architecture for real-time patient monitoring during surgery (14 citations) and pioneering soft continuum robots that evert and steer from the tip to deliver sensors into constrained environments (13 citations). His work demonstrates how measurement science and robotics can merge to solve real-world clinical and industrial challenges. With a growing citation footprint and a clear focus on translational impact, De Benedetto is shaping the future of intelligent, human-centered measurement systems.
Research Focus
Key Achievements
Top Papers
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