首页> 外文会议>Proceedings of the 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots >Combining robotics component-based model-driven development with a model-based performance analysis
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Combining robotics component-based model-driven development with a model-based performance analysis

机译:将基于机器人组件的模型驱动开发与基于模型的性能分析相结合

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Real-time properties such as reaction times play a safety-critical role for service robot applications. Current robotic software frameworks and middlewares, however, abstract from the underlying executing platform and execution management of the operating system thereby hiding relevant timing information. In other domains, such as automotive, model-based timing analysis is used early in the development process to analyze timing properties of the system. These approaches are not yet common in the service robotics domain. In this paper, we extend a model-driven development approach for robotic systems and enhance the system-configuration step to include a novel performance view that enables model-based timing analysis for robotic applications. Our evaluation shows that the performance analysis reasonably represents the real robot's run-time performance.
机译:响应时间等实时属性在服务机器人应用中起着至关重要的安全作用。但是,当前的机器人软件框架和中间件从底层执行平台和操作系统的执行管理中抽象出来,从而隐藏了相关的计时信息。在其他领域,例如汽车,在开发过程的早期就使用基于模型的时序分析来分析系统的时序属性。这些方法在服务机器人领域尚不普遍。在本文中,我们扩展了机器人系统的模型驱动开发方法,并增强了系统配置步骤,以包括一种新颖的性能视图,该视图可对机器人应用程序进行基于模型的时序分析。我们的评估表明,性能分析可以合理地代表实际机器人的运行时性能。

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