Erika Rovini
Papers
7
Total Citations
114
H-Index
6
About
Erika Rovini is a leading researcher at the intersection of assistive robotics, human-robot interaction, and active aging. Her work focuses on developing intelligent robotic systems—particularly the Pepper robot—that can recognize daily gestures, assess physical frailty, and provide personalized support for older adults. A key contribution is her system combining vision and wearable inertial sensors (SensHand) for daily gesture recognition during human-robot cooperation, which has garnered 33 citations. Rovini also pioneered a "pre-validation" methodology for designing personalized assistive services, demonstrated in Italian pilot studies (23 citations), and explored the critical role of assistive technology during the COVID-19 outbreak (20 citations). Her research extends to machine learning for physical human-robot interaction in walking support, robot-mediated clinical assessments like the Tinetti Balance scale for sarcopenia evaluation, and user profiling to enhance clinical assessment and human-robot interaction. With over 100 citations across her most-cited works, Rovini’s contributions are shaping how socially assistive robots can empower frail individuals, support caregivers, and promote independent living, making her a notable figure in gerontechnology and rehabilitation robotics.
Research Focus
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Top Papers
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