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.
