Karin A. Buetler
Papers
10
Total Citations
131
H-Index
7
About
Karin A. Buetler is a researcher at the forefront of robotic neurorehabilitation, with a focus on motor learning, haptic feedback, and virtual reality-based training systems. Her work addresses a critical challenge in rehabilitation science: how robotic-assisted training can be optimized not merely to support movement, but to genuinely promote skill acquisition and neuroplasticity in patients with neurological injuries such as stroke. Buetler's most influential contributions explore how haptic rendering — the simulation of realistic physical forces during robot-assisted tasks — enhances motor learning of dynamic, real-world activities, while also revealing that arm weight support can paradoxically hinder skill transfer. Her research on motor variability and virtual reality environments has further demonstrated that carefully calibrated task difficulty and immersive visualization can sustain motivation and drive implicit learning. More recently, she has expanded her scope to sensory rehabilitation, investigating how robotic systems and electrical stimulation can restore touch sensibility in stroke survivors — an often-overlooked dimension of recovery. With over 130 cumulative citations across her published work, Buetler's research meaningfully bridges robotics, neuroscience, and clinical rehabilitation, offering evidence-based principles for designing next-generation training technologies that address both motor and sensory recovery comprehensively.
Research Focus
Key Achievements
Top Papers
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- 8Virtual Reality in Robotic Neurorehabilitation5 citations · 2020
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