Melissa Raasch
Papers
1
Total Citations
17
H-Index
1
About
Melissa Raasch is a leading researcher at the intersection of rehabilitation robotics and human-robot interaction, with a primary focus on post-stroke gait training. Her most-cited work, "Learning Post-Stroke Gait Training Strategies by Modeling Patient-Therapist Interaction" (2023, 17 citations), pioneers a novel approach to robot-aided rehabilitation by directly learning from physical therapists' manual assistance techniques. By modeling the complex, real-time dynamics between patient lower-limb kinematics and therapist interventions, Raasch has developed algorithms that enable robotic exoskeletons to deliver more intuitive, adaptive, and safe gait training. This work bridges the gap between clinical expertise and autonomous robotic assistance, representing a significant step toward personalized, data-driven rehabilitation. Her contributions are critical for improving motor recovery outcomes in stroke survivors, offering a framework that could transform how robotic therapy is designed and deployed. Raasch’s research not only advances technical capabilities in assistive robotics but also underscores the importance of embedding human clinical knowledge into machine learning models, making her a key figure in the future of neurorehabilitation technology.
Research Focus
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Top Papers
- 1