{"title":"打开未知之门的简单策略","authors":"G. Niemeyer, J. Slotine","doi":"10.1109/ROBOT.1997.614341","DOIUrl":null,"url":null,"abstract":"Many robotic applications involve interactions with a simple mechanism, such as opening a door or turning a crank. Implementing such tasks using standard controllers may require precise knowledge of the kinematics or result in prohibitively large internal forces. We propose a simple method that learns the shape of the mechanism while in motion and generates little internal forces, in essence following the path of least resistance. The discussion is illustrated experimentally.","PeriodicalId":225473,"journal":{"name":"Proceedings of International Conference on Robotics and Automation","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"66","resultStr":"{\"title\":\"A simple strategy for opening an unknown door\",\"authors\":\"G. Niemeyer, J. Slotine\",\"doi\":\"10.1109/ROBOT.1997.614341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many robotic applications involve interactions with a simple mechanism, such as opening a door or turning a crank. Implementing such tasks using standard controllers may require precise knowledge of the kinematics or result in prohibitively large internal forces. We propose a simple method that learns the shape of the mechanism while in motion and generates little internal forces, in essence following the path of least resistance. The discussion is illustrated experimentally.\",\"PeriodicalId\":225473,\"journal\":{\"name\":\"Proceedings of International Conference on Robotics and Automation\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"66\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1997.614341\",\"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 of International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1997.614341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many robotic applications involve interactions with a simple mechanism, such as opening a door or turning a crank. Implementing such tasks using standard controllers may require precise knowledge of the kinematics or result in prohibitively large internal forces. We propose a simple method that learns the shape of the mechanism while in motion and generates little internal forces, in essence following the path of least resistance. The discussion is illustrated experimentally.