Jun-30-17
A customizing algorithm could significantly increase the efficiency of powered exoskeletons.
The algorithm, developed by a team at Carnegie Mellon University, takes into account the user’s exertion and triggers the exoskeleton to constantly compensate. This process, called “human-in-the-loop optimization,” was proven to reduce the energy exerted by the exoskeleton wearer by up to 40 percent.
The team believes the algorithm could also be used to develop more complex and different types of exoskeletons.
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