AI improves human locomotion in robotic exoskeletons, saves 25% energy

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Researchers from North Carolina State University showed the technologically advanced instrument as an achievement in reinforcement learning, a technique that trains software to make decisions.

A new method developed by researchers uses AI and computer simulations to train robotic exoskeletons to autonomously help users save energy.

In a demonstration video, provided as part of their new research published in Nature, the method consists of taping into three neural networks: motion imitation, muscle coordination, and exoskeleton control networks.

 

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