Algorithm-adjusted exoskeleton enables movement optimization, personalization

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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