{"title":"制造环境下的移动机器人对接操作:视觉感知策略的进展","authors":"R. Arkin, R. Murphy, Mark Pearson, David Vaughn","doi":"10.1109/IROS.1989.637900","DOIUrl":null,"url":null,"abstract":"This paper presents four dicerent visual strategies for use in docking operations for a mobile robot in a manufacturing environment. The algorithms developed include temporal activity (motion) detection, Hough transform-based recognition, adaptive fast region segmentation, and edge-based texture niethods. These algorithms are to be sequenced in a manner that is consistent wit11 our robot’s motor behavior (schema) for docking, exploiting aspects of ballistic and controlled motion a8 the robot moves towards a workstation.","PeriodicalId":332317,"journal":{"name":"Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Mobile Robot Docking Operations in a Manufacturing Environment: Progress in Visual Perceptual Strategies\",\"authors\":\"R. Arkin, R. Murphy, Mark Pearson, David Vaughn\",\"doi\":\"10.1109/IROS.1989.637900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents four dicerent visual strategies for use in docking operations for a mobile robot in a manufacturing environment. The algorithms developed include temporal activity (motion) detection, Hough transform-based recognition, adaptive fast region segmentation, and edge-based texture niethods. These algorithms are to be sequenced in a manner that is consistent wit11 our robot’s motor behavior (schema) for docking, exploiting aspects of ballistic and controlled motion a8 the robot moves towards a workstation.\",\"PeriodicalId\":332317,\"journal\":{\"name\":\"Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1989.637900\",\"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. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1989.637900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile Robot Docking Operations in a Manufacturing Environment: Progress in Visual Perceptual Strategies
This paper presents four dicerent visual strategies for use in docking operations for a mobile robot in a manufacturing environment. The algorithms developed include temporal activity (motion) detection, Hough transform-based recognition, adaptive fast region segmentation, and edge-based texture niethods. These algorithms are to be sequenced in a manner that is consistent wit11 our robot’s motor behavior (schema) for docking, exploiting aspects of ballistic and controlled motion a8 the robot moves towards a workstation.