Johnathan Corsino

Northeastern University

Papers

1

Total Citations

16

H-Index

1

About

Johnathan Corsino’s research lies at the intersection of rehabilitation robotics and motor control, with a focus on developing innovative technologies to address ankle disabilities caused by both acute injuries and neurological impairments. His most-cited work, “Position versus force control: Using the 2-DOF robotic ankle trainer to assess ankle’s motor control” (2014, 16 citations), introduces the virtually interfaced robotic ankle and balance trainer (vi-RABT)—a groundbreaking device designed to improve ankle rehabilitation. This paper highlights the critical distinction between position and force control in robotic therapy, offering insights into how tailored robotic assistance can enhance motor recovery. Given that an estimated 2,000,000 acute ankle sprains occur annually in the United States, and that neurological conditions like stroke, traumatic brain injury, and cerebral palsy often lead to chronic ankle disabilities, Corsino’s work addresses a pressing clinical need. By advancing robotic assessment and training methods, he has contributed foundational knowledge to the field of neurorehabilitation. His research not only demonstrates the potential of robotic systems to quantify motor impairments but also paves the way for more effective, personalized rehabilitation protocols. Corsino’s contributions are particularly valuable for students and researchers seeking to understand how engineering and neuroscience converge to restore mobility and improve quality of life for individuals with motor deficits.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Position versus force control: Using the 2-DOF robotic ankle trainer to assess ankle's motor control
16 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago