Researchers at Harvard’s John A. Paulson School of Engineering and Applied Sciences (SEAS) have teamed up with Massachusetts General Hospital and Harvard Medical School to develop a wearable robot that learns how to apply mechanical assistance to a weak or impaired limb. Utilizing machine learning, the robot includes sensors that track motion and pressure to better understand the movement the user is trying to do.
For the last several years, Harvard bioengineers have been developing a soft, wearable robot that not only provides movement assistance for such individuals but could even augment therapies to help them regain mobility.
But no two people move exactly the same way. Physical motions are highly individualized, especially for the mobility-impaired, making it difficult to design a device that works for many different people.
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