{"title":"三维多指夹具运动学可行性分析","authors":"Y. Guan, Hong Zhang","doi":"10.1109/TRA.2003.810235","DOIUrl":null,"url":null,"abstract":"Planning of a dextrous manipulation task for a multifingered hand requires the feasibility of all the grasps involved throughout the manipulation process. In this paper, we address the problem of determining whether a desired grasp of a polyhedral object is kinematically feasible. In our study, we define a grasp in terms of a system of contact pairs between the topological features of the hand and the object, and formulate the grasp feasibility analysis as a set of equality and inequality constraints in the variables of the hand and object configurations. The feasibility of a grasp then becomes equivalent to the simultaneous satisfaction of all the constraints. This allows us to cast the feasibility analysis conveniently as a constrained nonlinear optimization problem and solve it numerically with commercially available software. The effectiveness of our approach is illustrated with an example of grasping a cuboid using a three-fingered robotic hand.","PeriodicalId":161449,"journal":{"name":"IEEE Trans. Robotics Autom.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Kinematic feasibility analysis of 3-D multifingered grasps\",\"authors\":\"Y. Guan, Hong Zhang\",\"doi\":\"10.1109/TRA.2003.810235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Planning of a dextrous manipulation task for a multifingered hand requires the feasibility of all the grasps involved throughout the manipulation process. In this paper, we address the problem of determining whether a desired grasp of a polyhedral object is kinematically feasible. In our study, we define a grasp in terms of a system of contact pairs between the topological features of the hand and the object, and formulate the grasp feasibility analysis as a set of equality and inequality constraints in the variables of the hand and object configurations. The feasibility of a grasp then becomes equivalent to the simultaneous satisfaction of all the constraints. This allows us to cast the feasibility analysis conveniently as a constrained nonlinear optimization problem and solve it numerically with commercially available software. The effectiveness of our approach is illustrated with an example of grasping a cuboid using a three-fingered robotic hand.\",\"PeriodicalId\":161449,\"journal\":{\"name\":\"IEEE Trans. Robotics Autom.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Trans. Robotics Autom.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TRA.2003.810235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Trans. Robotics Autom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TRA.2003.810235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kinematic feasibility analysis of 3-D multifingered grasps
Planning of a dextrous manipulation task for a multifingered hand requires the feasibility of all the grasps involved throughout the manipulation process. In this paper, we address the problem of determining whether a desired grasp of a polyhedral object is kinematically feasible. In our study, we define a grasp in terms of a system of contact pairs between the topological features of the hand and the object, and formulate the grasp feasibility analysis as a set of equality and inequality constraints in the variables of the hand and object configurations. The feasibility of a grasp then becomes equivalent to the simultaneous satisfaction of all the constraints. This allows us to cast the feasibility analysis conveniently as a constrained nonlinear optimization problem and solve it numerically with commercially available software. The effectiveness of our approach is illustrated with an example of grasping a cuboid using a three-fingered robotic hand.