{"title":"任务质量的多维度要求对灵巧机械手进行控制","authors":"Huan Liu, T. Iberall, G. Bekey","doi":"10.1109/ROBOT.1989.100028","DOIUrl":null,"url":null,"abstract":"The authors identify four important task requirements for dextrous robot hand control. These requirements are stability, manipulability, torquability, and radial rotatability. High-level task descriptions, supplied by the user, are refined into detailed task descriptions that can be used to drive a robot hand. A knowledge-based approach for refining a reasonable set of tasks is used to infer values for a set of task attributes, which trigger several heuristics. Those heuristics are applied using a set of metaheuristics to determine good grasp postures and poses for the task. How to use this multidimensional grasping quality in grasp mode selection and performance evaluation is shown in an industrial assembly domain.<<ETX>>","PeriodicalId":114394,"journal":{"name":"Proceedings, 1989 International Conference on Robotics and Automation","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"The multi-dimensional quality of task requirements for dextrous robot hand control\",\"authors\":\"Huan Liu, T. Iberall, G. Bekey\",\"doi\":\"10.1109/ROBOT.1989.100028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors identify four important task requirements for dextrous robot hand control. These requirements are stability, manipulability, torquability, and radial rotatability. High-level task descriptions, supplied by the user, are refined into detailed task descriptions that can be used to drive a robot hand. A knowledge-based approach for refining a reasonable set of tasks is used to infer values for a set of task attributes, which trigger several heuristics. Those heuristics are applied using a set of metaheuristics to determine good grasp postures and poses for the task. How to use this multidimensional grasping quality in grasp mode selection and performance evaluation is shown in an industrial assembly domain.<<ETX>>\",\"PeriodicalId\":114394,\"journal\":{\"name\":\"Proceedings, 1989 International Conference on Robotics and Automation\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings, 1989 International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1989.100028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings, 1989 International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1989.100028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The multi-dimensional quality of task requirements for dextrous robot hand control
The authors identify four important task requirements for dextrous robot hand control. These requirements are stability, manipulability, torquability, and radial rotatability. High-level task descriptions, supplied by the user, are refined into detailed task descriptions that can be used to drive a robot hand. A knowledge-based approach for refining a reasonable set of tasks is used to infer values for a set of task attributes, which trigger several heuristics. Those heuristics are applied using a set of metaheuristics to determine good grasp postures and poses for the task. How to use this multidimensional grasping quality in grasp mode selection and performance evaluation is shown in an industrial assembly domain.<>
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