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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.
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Researchers creating personalized robotic limb to reduce work intensity
Wednesday, October 13, 2021
“Assistant professors Myunghee Kim and Heejin Jeong, both in mechanical and industrial engineering at UIC, are collaborating to develop a personalized lower-limb assistive wearable robot that reduces human effort during physically intensive activities.…
IROS Human-robot Symbiosis Workshop Call for Abstracts and Speakers
Saturday, September 4, 2021
Dear Colleagues, We invite you to attend the half-day workshop: Challenges and Opportunities of Human-robot Symbiosis: from Wearable Robots to Neurorobotics, at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).…