Christine Cleveland

University of North Carolina at Chapel Hill

Papers

Total Citations

H-Index

About

Christine Cleveland is a leading researcher in rehabilitation robotics, with a primary focus on hybrid exoskeletons and human-machine interaction for restoring mobility after neurological injury. Her work uniquely integrates real-time physiological sensing with shared control algorithms to optimize assistive technologies. In her highly cited 2024 paper, "Real-Time Ultrasound Imaging of a Human Muscle to Optimize Shared Control in a Hybrid Exoskeleton," Cleveland pioneered the use of non-invasive ultrasound to directly monitor muscle dynamics, enabling a powered exoskeleton and functional electrical stimulation (FES) to work in seamless synchrony. This breakthrough allows for more intuitive and adaptive assistance for individuals with spinal cord injury (SCI), addressing a critical limitation of conventional systems. With 6 citations already, her work is rapidly gaining recognition for its potential to personalize neurorehabilitation. Cleveland’s research stands at the intersection of biomechanics, control theory, and clinical application, promising to make hybrid exoskeletons safer and more effective for real-world use.