{"title":"Realistic simulation of industrial bin-picking systems","authors":"A. Schyja, B. Kuhlenkötter","doi":"10.1109/ICARA.2015.7081137","DOIUrl":null,"url":null,"abstract":"Although bin-picking is a well-researched and popular topic, planning and designing bin-picking systems is still a challenge. One reason for this is the fact that no comprehensive tools for planning such systems in an early engineering stage exist. Hence, there is no possibility to determine optimal system components and their configuration. In particular, there is no chance to provide a complete simulation and verification in advance, which is state of the art in many areas of virtual commissioning. In this paper, we present a versatile solution for planning, configuration and simulation of bin-picking systems within a virtual environment. Thus, a qualitative and quantitative evidence of bin-picking becomes possible. Based on real and virtual use cases results of a research experience are presented.","PeriodicalId":176657,"journal":{"name":"2015 6th International Conference on Automation, Robotics and Applications (ICARA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th International Conference on Automation, Robotics and Applications (ICARA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARA.2015.7081137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Although bin-picking is a well-researched and popular topic, planning and designing bin-picking systems is still a challenge. One reason for this is the fact that no comprehensive tools for planning such systems in an early engineering stage exist. Hence, there is no possibility to determine optimal system components and their configuration. In particular, there is no chance to provide a complete simulation and verification in advance, which is state of the art in many areas of virtual commissioning. In this paper, we present a versatile solution for planning, configuration and simulation of bin-picking systems within a virtual environment. Thus, a qualitative and quantitative evidence of bin-picking becomes possible. Based on real and virtual use cases results of a research experience are presented.