About

Anindo Roy is a pioneering biomedical engineer and neurorehabilitation researcher whose work sits at the intersection of robotics, motor neuroscience, and stroke recovery. Best known for his foundational contributions to ankle robotics, Roy played a central role in developing and clinically validating the "Anklebot" — a novel robotic device created at MIT that has reshaped how clinicians approach lower-extremity rehabilitation after stroke. His most-cited work (335 citations) introduced the Anklebot's design and laid the groundwork for a robust program of clinical research conducted at the Baltimore Veterans Affairs Medical Center. Roy's research has systematically demonstrated that targeted robotic ankle training improves hemiparetic gait, reduces pathological ankle stiffness, and enhances neuromotor control in chronic stroke survivors. Notably, his 2014 study revealed that incorporating reward-based feedback into robotic training amplifies both motor learning and cortical efficiency — bridging neuroscience theory with rehabilitation practice. He has also advanced deficit-adjusted control algorithms that personalize robotic assistance to individual impairment levels. With over 880 cumulative citations across his most prominent publications, Roy's work has substantially influenced the trajectory of task-specific locomotor rehabilitation, making robotic neurorehabilitation a credible and evidence-backed clinical strategy for stroke recovery.

Research Focus

Key Achievements

10
H-Index
19
Papers
917
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Aided Neurorehabilitation: A Novel Robot for Ankle Rehabilitation
335 citations · 2009
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Massachusetts Institute of Technology, University of Maryland, Baltimore, Veterans Health Administration, University of Maryland Rehabilitation & Orthopaedic Institute, Baltimore VA Medical Center, VA Maryland Health Care System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago