NIH R01 · 2024
Human and Machine Learning for Customized Control of Assistive Robots
PROJECT SUMMARY This application will result in a technological platform that re-empowers persons with severe paralysis, by allowing them to independently control a wide spectrum of robotic actions. Severe paralysis is devastating, and chronic—and reliance on caregivers is persistent. Assistive machines such as wheelchairs and robotic arms offer a groundbreaking path to independence: where control over their environment and interactions is returned to the person. However, to operate complex machines like robotic arms and hands typically poses a difficult learning challenge and requires complex control signals—and the commercial control interfaces accessible to persons with severe paralysis…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.
← All labs at Rehabilitation Institute of Chicago D/B/a Shirley Ryan Abilitylab