{"title":"Contact state detection by force sensing for assembly tasks","authors":"K. Kitagaki, T. Ogasawara, T. Suehiro","doi":"10.1109/MFI.1994.398431","DOIUrl":null,"url":null,"abstract":"This paper describes a new way to detect the contact state of an end-effector and the environment by force sensing, which is a useful technique for very small motions. It estimates the position of the contact point first, and then it detects the transition of the contact state. This sequence is implemented on an edge mating task, which is a simple but important fundamental task. The contact position is estimated with two sets of observed relative force and moment, and the forces to be applied for the estimation are determined based on the singular value decomposition technique. Transition detection is achieved by monitoring the relation between observed force and moment. Experiments demonstrate the effectiveness of this technique, which is robust against force noise caused by friction and the characteristics of the manipulator control.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.1994.398431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper describes a new way to detect the contact state of an end-effector and the environment by force sensing, which is a useful technique for very small motions. It estimates the position of the contact point first, and then it detects the transition of the contact state. This sequence is implemented on an edge mating task, which is a simple but important fundamental task. The contact position is estimated with two sets of observed relative force and moment, and the forces to be applied for the estimation are determined based on the singular value decomposition technique. Transition detection is achieved by monitoring the relation between observed force and moment. Experiments demonstrate the effectiveness of this technique, which is robust against force noise caused by friction and the characteristics of the manipulator control.<>