Adam Reust

Papers

Total Citations

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About

Adam Reust is a leading researcher in assistive robotics and brain-machine interfaces, dedicated to restoring motor function for individuals with neurological conditions. His work focuses on integrating multimodal sensing—combining forearm surface electromyography (sEMG) with inertial measurement units (IMUs)—to enable intuitive control of assistive robotic arms for patients with cerebral palsy, spinal cord injury, and multiple sclerosis. Reust’s research also advances non-invasive brain-computer interfaces, using EEG signals to decode motor imagery for controlling dual robotic hands. His most-cited papers, each garnering 13 citations, demonstrate foundational contributions to extracting neural and muscular control signals for real-world prosthetic and rehabilitation applications. By fusing physiological and kinematic data, Reust’s work directly addresses the challenges of activities of daily living, offering pathways to more responsive, naturalistic assistive devices. His achievements highlight a commitment to translating neural engineering into practical solutions that enhance independence and quality of life for individuals with severe motor impairments.