{"678071":{"#nid":"678071","#data":{"uid":"27255","author":"Josie Giles","created_gmt":"2025-09-18 15:12:05","changed_gmt":"2025-09-18 15:12:05","title":"The Robotic Breakthrough That Could Help Stroke Survivors Reclaim Their Stride","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0027s AI-fueled exoskeleton adapts to every step, helping patients relearn to walk with less effort and more confidence.\r\n\r\nTraditional robotic exoskeleton models require extensive manual calibration, but Aaron Young, associate professor in the George W. Woodruff School of Mechanical Engineering, and his team developed AI-driven software that automatically adapts to each user\u2019s gait. By using a neural network, the system continuously monitors and adjusts support with each step, gradually syncing with the wearer\u2019s unique movement. In this study, the team used a hip exoskeleton that delivers torque at the hip joint to help stroke survivors walk more easily.\u003C\/p\u003E","format":"limited_html"}],"groups":[{"id":"1188","name":"Research Horizons"}],"keywords":[]}}}