Robert A. Scheidt
Marquette University, Northwestern University, Shirley Ryan AbilityLab
Papers
28
Total Citations
1,876
H-Index
19
About
Robert A. Scheidt is a leading neuroscientist and biomedical engineer whose research centers on human motor learning, sensorimotor adaptation, and neurological rehabilitation. His most influential work explores how the brain learns to control movement under conditions of uncertainty and environmental perturbation, using robotic manipulanda to deliver precisely controlled force fields during reaching tasks. His early landmark studies — "Learning to Move Amid Uncertainty" (2001, 430 citations) and "Persistence of Motor Adaptation During Constrained, Multi-Joint, Arm Movements" (2000, 425 citations) — established foundational principles of how humans form internal models of dynamic environments and retain motor adaptations over time. Scheidt further advanced the field by demonstrating how impedance control and internal model formation respond to randomly varying forces (2001, 212 citations), and by pioneering error-augmentation strategies to accelerate motor learning in both healthy individuals and stroke survivors. His translational work has been particularly impactful, investigating proprioceptive deficits and rehabilitative relearning in hemiparetic stroke populations. Collectively, his contributions bridge fundamental neuroscience and clinical application, making him a highly respected figure in movement neuroscience and robot-assisted rehabilitation research.
Research Focus
Key Achievements
Top Papers
- 1Learning to Move Amid Uncertainty430 citations · 2001
- 2Persistence of Motor Adaptation During Constrained, Multi-Joint, Arm Movements425 citations · 2000
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- 7A robotic test of proprioception within the hemiparetic arm post-stroke54 citations · 2014
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- 10Effects of wrist tendon vibration on arm tracking in people poststroke43 citations · 2011