{"686540":{"#nid":"686540","#data":{"type":"news","title":"Real-World Helper Exoskeletons Just Got Closer to Reality","body":[{"value":"\u003Cp\u003ETo make useful wearable robotic devices that can help stroke patients or people with amputated limbs, the computer brains driving the systems must be trained. That takes time and money \u2014 lots of time and money. And researchers\u0026nbsp;need specially equipped labs to collect mountains of human data for training.\u003C\/p\u003E\u003Cp\u003EEven when engineers have a working device and brain, called a controller, changes and improvements to the exoskeleton system typically mean data collection and training start all over again. The process is expensive and makes bringing fully functional exoskeletons or robotic limbs into the real world largely impractical.\u003C\/p\u003E\u003Cp\u003ENot anymore, thanks to Georgia Tech engineers and computer scientists.\u003C\/p\u003E\u003Cp\u003EThey\u2019ve created an artificial intelligence tool that can turn huge amounts of existing data on how people move into functional exoskeleton controllers. No data collection, retraining, and hours upon hours of additional lab time required for each specific device.\u003C\/p\u003E\u003Cp\u003ETheir approach has produced an exoskeleton brain capable of offering meaningful assistance across a huge range of hip and knee movements that works as well as the best controllers currently available. \u003Ca href=\u0022https:\/\/doi.org\/10.1126\/scirobotics.ads8652\u0022\u003ETheir worked was published Nov. 19 in \u003Cem\u003EScience Robotics.\u003C\/em\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/coe.gatech.edu\/news\/2025\/11\/real-world-helper-exoskeletons-just-got-closer-reality\u0022\u003E\u003Cstrong\u003EFull details on the College of Engineering website.\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers are using AI to quickly train exoskeleton devices, making it much more practical to develop, improve, and ultimately deploy wearable robots for people with impaired mobility.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers are using AI to quickly train exoskeleton devices, making it much more practical to develop, improve, and ultimately deploy wearable robots for people with impaired mobility."}],"uid":"27446","created_gmt":"2025-11-19 18:38:33","changed_gmt":"2025-11-19 19:12:16","author":"Joshua Stewart","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-11-19T00:00:00-05:00","iso_date":"2025-11-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"678673":{"id":"678673","type":"image","title":"Matthew-Gombolay-Aaron-Young-AI-exoskeleton-control-0337-h.jpg","body":"\u003Cp\u003EResearchers Matthew Gombolay, left, and Aaron Young used the lower-limb exoskeleton demonstrated in the background to test their new approach to creating exoskeleton controllers. They use huge amounts of existing data on how people move to create functional controllers able to provide meaningful assistance. And unlike earlier controllers, they do not require hours and hours of additional training and data collection with each specific exoskeleton device.\u003C\/p\u003E","created":"1763577576","gmt_created":"2025-11-19 18:39:36","changed":"1763577576","gmt_changed":"2025-11-19 18:39:36","alt":"Matthew Gombolay and Aaron Young pose in the lab while Ph.D. researchers work on a leg exoskeleton device.","file":{"fid":"262731","name":"Matthew-Gombolay-Aaron-Young-AI-exoskeleton-control-0337-h.jpg","image_path":"\/sites\/default\/files\/2025\/11\/19\/Matthew-Gombolay-Aaron-Young-AI-exoskeleton-control-0337-h.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/19\/Matthew-Gombolay-Aaron-Young-AI-exoskeleton-control-0337-h.jpg","mime":"image\/jpeg","size":985612,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/19\/Matthew-Gombolay-Aaron-Young-AI-exoskeleton-control-0337-h.jpg?itok=qFUHgDV1"}}},"media_ids":["678673"],"groups":[{"id":"1237","name":"College of Engineering"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"145","name":"Engineering"},{"id":"135","name":"Research"},{"id":"152","name":"Robotics"}],"keywords":[{"id":"168835","name":"Aaron Young"},{"id":"175375","name":"matthew gombolay"},{"id":"182630","name":"exoskeletons"},{"id":"187991","name":"go-robotics"}],"core_research_areas":[{"id":"39521","name":"Robotics"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jstewart@gatech.edu\u0022\u003EJoshua Stewart\u003C\/a\u003E\u003Cbr\u003ECollege of Engineering\u003C\/p\u003E","format":"limited_html"}],"email":["jstewart@gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}