Nicola Mastronicola
Papers
2
Total Citations
20
H-Index
2
About
Nicola Mastronicola is a researcher in the field of robot-based neurorehabilitation, with a focus on developing adaptive control systems for upper-limb therapy. His major contributions lie in designing online adaptive assistance algorithms that dynamically adjust robotic support based on a patient's real-time performance and effort, aiming to enhance motor recovery after neurological injury. His most-cited work, "Online adaptive assistance control in robot-based neurorehabilitation therapy" (2017, 12 citations), introduces a methodology that tailors task difficulty to promote patient engagement and neural plasticity. Building on this, his 2018 study, "An Improved Adaptive Robotic Assistance Methodology for Upper-Limb Rehabilitation" (8 citations), refines these control strategies for greater precision and clinical applicability. Though his citation counts are modest, Mastronicola's research addresses a critical challenge in rehabilitation robotics: balancing assistance with active patient participation. His work is notable for its focus on real-time, patient-specific adaptation, a key step toward more effective and personalized robotic therapy. For students and researchers, Mastronicola's contributions exemplify the intersection of control engineering and clinical neuroscience, offering practical pathways to improve recovery outcomes in neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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