The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded Carnegie Mellon University (CMU) a $168,596 Project Grant (CFDA 93.286) to develop an "AI-Driven Hip Exoskeleton Control Framework that Rapidly Generalizes to a Broad Range of Users and Real-World Locomotor Tasks." The objective is to create an exoskeleton control system that can quickly adapt to diverse user movement patterns, enabling improved mobility for community members, especially those with limited resources. CMU will leverage artificial intelligence to interpret user movements via wearable sensors and rapidly tune the exoskeleton control, which will be evaluated through testing with both young and older adult participants navigating an outdoor course. This work aims to address the critical need for exoskeleton technologies that can effectively assist daily ambulation for a wide range of individuals. The grant will fund this research over a period of approximately 3 years, from February 2025 to January 2028.
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