{"title":"机器人康复治疗实时模糊轨迹生成","authors":"Peter Martin, M. Emami","doi":"10.1109/ICORR.2009.5209533","DOIUrl":null,"url":null,"abstract":"This paper proposes a method for the design of a real-time fuzzy trajectory generator for the robotic rehabilitation of patients with upper limb dysfunction due to neurological diseases. The system utilizes a fuzzy-logic schema to introduce compliance into the human-robot interaction, and to allow the emulation of a wide variety of therapy techniques. This approach also allows for the fine-tuning of system dynamics using linguistic variables. The rule base for the system is trained using a fuzzy clustering approach based on experimental data gathered during traditional therapy sessions. The trajectory generator will be packaged as a platform-independent solution to facilitate the rehabilitation of patients using multiple manipulator configurations.","PeriodicalId":189213,"journal":{"name":"2009 IEEE International Conference on Rehabilitation Robotics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Real-time fuzzy trajectory generation for robotic rehabilitation therapy\",\"authors\":\"Peter Martin, M. Emami\",\"doi\":\"10.1109/ICORR.2009.5209533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method for the design of a real-time fuzzy trajectory generator for the robotic rehabilitation of patients with upper limb dysfunction due to neurological diseases. The system utilizes a fuzzy-logic schema to introduce compliance into the human-robot interaction, and to allow the emulation of a wide variety of therapy techniques. This approach also allows for the fine-tuning of system dynamics using linguistic variables. The rule base for the system is trained using a fuzzy clustering approach based on experimental data gathered during traditional therapy sessions. The trajectory generator will be packaged as a platform-independent solution to facilitate the rehabilitation of patients using multiple manipulator configurations.\",\"PeriodicalId\":189213,\"journal\":{\"name\":\"2009 IEEE International Conference on Rehabilitation Robotics\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Rehabilitation Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICORR.2009.5209533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Rehabilitation Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORR.2009.5209533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time fuzzy trajectory generation for robotic rehabilitation therapy
This paper proposes a method for the design of a real-time fuzzy trajectory generator for the robotic rehabilitation of patients with upper limb dysfunction due to neurological diseases. The system utilizes a fuzzy-logic schema to introduce compliance into the human-robot interaction, and to allow the emulation of a wide variety of therapy techniques. This approach also allows for the fine-tuning of system dynamics using linguistic variables. The rule base for the system is trained using a fuzzy clustering approach based on experimental data gathered during traditional therapy sessions. The trajectory generator will be packaged as a platform-independent solution to facilitate the rehabilitation of patients using multiple manipulator configurations.