{"title":"Towards Real-Time Capable Simulations with a Containerized Simulation Environment","authors":"Christoph Hinze, T. Tasci, A. Lechler, A. Verl","doi":"10.1109/M2VIP.2018.8600827","DOIUrl":null,"url":null,"abstract":"The handling of non-rigid objects, such as cables, with industrial robots is characterized by nonlinear, timedependent and location-dependent equations for the object's behavior. To manipulate them in a desired way, real-time capable simulations for control that are able to run in cycle-time are required as well as highly accurate and detailed simulations for path planning. We introduce a common simulation environment that is wrapped in a container with the advantages of including all dependencies and being easy to set up and orchestrate. Automated code generation is used to set up a standardized communication and virtualization in a Docker container such that only the simulation itself has to be provided by a user. The advantage of containerization, compared to the simulation running natively, is finally demonstrated with a sample robot simulation under heavy CPU load.","PeriodicalId":365579,"journal":{"name":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"36 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/M2VIP.2018.8600827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The handling of non-rigid objects, such as cables, with industrial robots is characterized by nonlinear, timedependent and location-dependent equations for the object's behavior. To manipulate them in a desired way, real-time capable simulations for control that are able to run in cycle-time are required as well as highly accurate and detailed simulations for path planning. We introduce a common simulation environment that is wrapped in a container with the advantages of including all dependencies and being easy to set up and orchestrate. Automated code generation is used to set up a standardized communication and virtualization in a Docker container such that only the simulation itself has to be provided by a user. The advantage of containerization, compared to the simulation running natively, is finally demonstrated with a sample robot simulation under heavy CPU load.