{"title":"准被动变刚度踝关节外骨骼辅助行走设计与实验验证","authors":"Jinlu Wang;Qingcong Wu;Yiqi Zou;Yanghui Zhu;Hongtao Wang;Hongtao Wu","doi":"10.1109/LRA.2025.3526450","DOIUrl":null,"url":null,"abstract":"Exoskeleton robots are an effective method for enhancing human walking ability. This letter introduces a quasi-passive variable stiffness ankle exoskeleton, which absorbs negative work produced during ankle dorsiflexion in the stance phase of the gait cycle and releases energy to assist plantar flexion during push-off. Compared to powered exoskeletons, this design does not require high-power actuators but instead relies on a clutch and elastic component to mimic the interaction between muscles and tendons for assistance. Compared to passive exoskeletons, the designed clutch can adapt to different users. Compared to fixed-stiffness exoskeletons, the novel variable stiffness energy storage mechanism passively adjusts stiffness to mimic the biomechanical properties of the ankle joint. The proposed exoskeleton identifies gait phases based on a control strategy using foot force sensors. This strategy controls the exoskeleton's energy recovery and release by determining the gait cycle phase and changing the clutch state. Finally, a level-ground walking experiment was conducted with six healthy participants. Results showed that wearing the exoskeleton reduced the root mean square (RMS) change rate of soleus EMG activity by 7.25% and decreased the net metabolic rate during walking by 3.6%.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 2","pages":"1856-1863"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Experimental Verification of a Quasi-Passive Variable Stiffness Ankle Exoskeleton for Human Walking Assistance\",\"authors\":\"Jinlu Wang;Qingcong Wu;Yiqi Zou;Yanghui Zhu;Hongtao Wang;Hongtao Wu\",\"doi\":\"10.1109/LRA.2025.3526450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exoskeleton robots are an effective method for enhancing human walking ability. This letter introduces a quasi-passive variable stiffness ankle exoskeleton, which absorbs negative work produced during ankle dorsiflexion in the stance phase of the gait cycle and releases energy to assist plantar flexion during push-off. Compared to powered exoskeletons, this design does not require high-power actuators but instead relies on a clutch and elastic component to mimic the interaction between muscles and tendons for assistance. Compared to passive exoskeletons, the designed clutch can adapt to different users. Compared to fixed-stiffness exoskeletons, the novel variable stiffness energy storage mechanism passively adjusts stiffness to mimic the biomechanical properties of the ankle joint. The proposed exoskeleton identifies gait phases based on a control strategy using foot force sensors. This strategy controls the exoskeleton's energy recovery and release by determining the gait cycle phase and changing the clutch state. Finally, a level-ground walking experiment was conducted with six healthy participants. Results showed that wearing the exoskeleton reduced the root mean square (RMS) change rate of soleus EMG activity by 7.25% and decreased the net metabolic rate during walking by 3.6%.\",\"PeriodicalId\":13241,\"journal\":{\"name\":\"IEEE Robotics and Automation Letters\",\"volume\":\"10 2\",\"pages\":\"1856-1863\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Robotics and Automation Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10829666/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics and Automation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10829666/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
Design and Experimental Verification of a Quasi-Passive Variable Stiffness Ankle Exoskeleton for Human Walking Assistance
Exoskeleton robots are an effective method for enhancing human walking ability. This letter introduces a quasi-passive variable stiffness ankle exoskeleton, which absorbs negative work produced during ankle dorsiflexion in the stance phase of the gait cycle and releases energy to assist plantar flexion during push-off. Compared to powered exoskeletons, this design does not require high-power actuators but instead relies on a clutch and elastic component to mimic the interaction between muscles and tendons for assistance. Compared to passive exoskeletons, the designed clutch can adapt to different users. Compared to fixed-stiffness exoskeletons, the novel variable stiffness energy storage mechanism passively adjusts stiffness to mimic the biomechanical properties of the ankle joint. The proposed exoskeleton identifies gait phases based on a control strategy using foot force sensors. This strategy controls the exoskeleton's energy recovery and release by determining the gait cycle phase and changing the clutch state. Finally, a level-ground walking experiment was conducted with six healthy participants. Results showed that wearing the exoskeleton reduced the root mean square (RMS) change rate of soleus EMG activity by 7.25% and decreased the net metabolic rate during walking by 3.6%.
期刊介绍:
The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.