Antonella Califfi
Papers
8
Total Citations
314
H-Index
6
About
Antonella Califfi is a rehabilitation researcher whose work sits at the intersection of robotics, neuroscience, and stroke recovery, with a particular focus on restoring hand and upper limb function in post-stroke patients. Her most influential contributions have advanced the field of robot-assisted rehabilitation by integrating neurocognitive principles — notably the Perfetti method — into robotic therapy systems, challenging patients' motor, sensory, and cognitive capacities simultaneously. Her 2020 randomized controlled trial on neurocognitive robot-assisted hand rehabilitation has garnered 107 citations, establishing robust clinical evidence for this approach, while her 2014 work on assessment-driven adaptation of exercise difficulty (100 citations) helped lay the groundwork for personalized, responsive robotic therapy. A recurring theme throughout her research is the pursuit of unsupervised rehabilitation — enabling patients to benefit from increased therapy dose without overburdening clinical staff — a challenge she has addressed through automated parameter adaptation and progressive supervision protocols. More recently, she has expanded her scope to assistive technologies and user-centered design for stroke survivors navigating daily life. Collectively, her body of work reflects a rigorous, patient-focused vision for how intelligent robotic systems can meaningfully transform neurological rehabilitation.
Research Focus
Key Achievements
Top Papers
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- 3Neurocognitive Robot-Assisted Therapy of Hand Function58 citations · 2014
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