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Improving Mobility and Quality of Life.
Rehabilitation Robotics Lab at the University of Illinois at Chicago aims to enhance human locomotion with assistive devices by coupling machine learning methods, a model-based approach, and hardware experimentation. Machine learning is used as a tool to learn human-robot interaction and human locomotion. This learning involves controlled human subject experiments with wearable robots. A simplified model is used to understand the underlying mechanism of such a learning process as the model is intellectually accessible. The outcome will inform effective wearable robot design and prescription to improve mobility and quality of life.