Algorithm-adjusted exoskeleton enables movement optimization, personalization

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Juanjuan Zhang, Steven Collins and CMU colleagues have developed an algorithm that enables ankle exoskeletons to adapt to the wearer’s walk called “Human in the Loop Optimization.”

In a recent study, by using indirect calorimetry to measure metabolic rates, torque was adjusted while users were walking, running, and carrying a load.

At this stage, a treadmill and extensive monitoring equipment are required.  The goal is for users to be fitted in a clinic, and walk away with a programmed profile.


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