Papers
12
Total Citations
83
H-Index
4
About
Camilla Pierella is a leading researcher at the intersection of rehabilitation robotics, human motor control, and assistive technologies. Her work focuses on restoring and augmenting human movement, with key contributions spanning robot-aided therapy, exoskeleton personalization, and the emerging field of human motor augmentation. Pierella’s most cited paper (27 citations) explores the use of extra robotic arms (XRAs), addressing the critical challenge of enabling users to control an additional limb without disrupting natural motor function—a foundational step for assistive and augmentation robotics. She has also developed personalized rehabilitation strategies, including a statistical model to tailor exoskeleton therapy (2018) and a motor improvement estimation method for adaptive robot-aided therapy (2020, 25 citations), both aimed at improving clinical outcomes over conventional approaches. Her work extends to multiple sclerosis, where she quantified subtle upper limb deficits in asymptomatic patients using robotic assessments (2022), and to trunk control rehabilitation for neurological conditions (2024). Pierella has also investigated muscle synergy retraining and motor intention decoding during active and robot-assisted reaching, advancing closed-loop rehabilitation systems. With over 80 total citations and a growing portfolio of high-impact studies, she is shaping the future of personalized, data-driven neurorehabilitation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 8Motor Intention Decoding During Active and Robot-Assisted Reaching3 citations · 2018
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- 10Adaptive Response of Muscle Activity to Exoskeleton-Assisted Walking2 citations · 2025