Thorsten Stein
Papers
11
Total Citations
115
H-Index
6
About
Thorsten Stein is a leading researcher in human motor learning, rehabilitation robotics, and biomechanics, whose work bridges fundamental neuroscience with practical applications in assistive technology. His major contributions center on understanding how the brain adapts to novel environments, particularly through force field learning paradigms. Stein’s highly cited research on “catch trials” in force field adaptation (25 citations) revealed how unexpected force removals influence motor memory consolidation, providing critical insights into the neural mechanisms of motor learning. He further advanced this field by demonstrating that random practice conditions enhance retest performance through mechanisms in the parietal cortex (21 citations). Beyond fundamental motor control, Stein has made significant applied contributions to rehabilitation engineering. His development of the BioMotionBot—a robotic device for motor learning and rehabilitation—exemplifies his translational approach. He has also investigated how rollator assistance affects postural stability in older adults (18 citations) and explored human-robot handover optimization. Stein’s work on lower limb exoskeletons for healthy aging represents a forward-looking strategy to monitor and support motor performance across the lifespan. His research consistently integrates motion analysis, robotic interfaces, and computational modeling to advance both scientific understanding and real-world assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 7Towards Semantic Segmentation of Human Motion Sequences5 citations · 2010
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- 9The Importance of Feedback for Object Hand-Overs Between Human and Robot4 citations · 2020
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