{"title":"Real-time platforms and environments for time constrained flexible manufacturing","authors":"J. Stankovic, K. Ramamritham, G. Zlokapa","doi":"10.1109/RTOSS.1994.292553","DOIUrl":null,"url":null,"abstract":"The Spring Kernel and associated algorithms, languages, and tools provide system support for static or dynamic real-time applications that require predictable operation. Spring currently consists of two major parts: (1) the development environment, where application and target systems are described, preprocessed and downloaded, and (2) the run-time environment, where the operating system, the Spring Kernel, creates and ensures predictable executions of application tasks. We have integrated our real-time systems technology with component technologies from robotics, computer vision, and real-time artificial intelligence, to develop a test platform for flexible manufacturing. The results being produced are generic so that they should be in many other real-time applications such as air traffic control and chemical plants. We describe this platform, identify new features developed, and comment on some lessons learned to date from this experiment.<<ETX>>","PeriodicalId":103713,"journal":{"name":"Proceedings of 11th IEEE Workshop on Real-Time Operating Systems and Software","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 11th IEEE Workshop on Real-Time Operating Systems and Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTOSS.1994.292553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The Spring Kernel and associated algorithms, languages, and tools provide system support for static or dynamic real-time applications that require predictable operation. Spring currently consists of two major parts: (1) the development environment, where application and target systems are described, preprocessed and downloaded, and (2) the run-time environment, where the operating system, the Spring Kernel, creates and ensures predictable executions of application tasks. We have integrated our real-time systems technology with component technologies from robotics, computer vision, and real-time artificial intelligence, to develop a test platform for flexible manufacturing. The results being produced are generic so that they should be in many other real-time applications such as air traffic control and chemical plants. We describe this platform, identify new features developed, and comment on some lessons learned to date from this experiment.<>