When it comes to soft, assistive devices the wearer and the robot need to be in sync. But every human moves a bit differently and tailoring the robot's parameters for an individual user is a time-consuming and inefficient process. Now, researchers have developed an efficient machine learning algorithm that can quickly tailor personalized control strategies for soft, wearable exosuits.
When it comes to soft, assistive devices the wearer and the robot need to be in sync. But every human moves a bit differently and tailoring the robot's parameters for an individual user is a time-consuming and inefficient process. Now, researchers have developed an efficient machine learning algorithm that can quickly tailor personalized control strategies for soft, wearable exosuits.
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