Naveed Reza Aghamohammadi
Papers
6
Total Citations
30
H-Index
4
About
Naveed Reza Aghamohammadi is a pioneering researcher at the intersection of robotics, motor learning, and personalized neurorehabilitation. Their work centers on developing "mechnoceuticals"—robotic training devices that leverage error augmentation to enhance motor skill acquisition and recovery. Aghamohammadi’s key contribution is the concept of **error fields**, a novel framework that customizes robotic forces to target an individual’s specific movement mistakes, rather than applying generic corrections. This personalized approach, demonstrated in planar reaching tasks and 3D therapy, has shown promise in accelerating learning and improving outcomes for post-stroke patients. With over 30 citations across their most-cited works, including foundational papers from 2022 and 2025, their research has already influenced the design of adaptive rehabilitation protocols. Notable achievements include the development of the **PRISM** algorithm for parameter recovery in motor learning dynamics and studies on the generalization of isometric training skills. Aghamohammadi’s work bridges computational modeling, human-robot interaction, and clinical application, offering a data-driven path toward more effective, individualized movement therapy.
Research Focus
Key Achievements
Top Papers
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- 4Personalized Robotic Training on a Planar Reaching Task4 citations · 2025
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- 6PRISM: Parameter Recovery Identification from Synthetic Modeling2 citations · 2025