Robotic exoskeleton adapts to changes in leg movements in real time

• 成果类型: Editorial Material
• 署名作者: Kim, Myunghee; Major, Matthew J.
• 署名单位: University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; Northwestern University; Feinberg School of Medicine; US Department of Veterans Affairs; Veterans Health Administration (VHA); Jesse Brown VA Medical Center; US Department of Veterans Affairs; Veterans Health Administration (VHA); Jesse Brown VA Medical Center
• 刊物名称: Nature
• ISSN/ISSBN: 0028-6218
• DOI: 10.1038/d41586-024-03546-4
• 发表日期: 2024-11-14
• 页码: 296-297
• 关键词: the-loop optimization; assistance

摘要

Wearable robots that assist leg movements could transform the lives of people with reduced mobility - but only if the devices can adapt in real time to support a vast range of human activities. Machine learning provides a way forward.