配置云机器人应用的软件产品线方法

Luca Gherardi, D. Hunziker, Mohanarajah Gajamohan
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引用次数: 21

摘要

当今机器人软件应用中使用的日益复杂的算法的计算需求已经超过了普通机器人的板载处理器。此外,这些应用程序的开发和配置是困难的任务,需要不同领域的专业知识,包括软件工程、控制工程和计算机视觉。为了解决这些问题,本文扩展并整合了我们之前的工作,这些工作基于两种有前途的技术:云机器人和软件产品线。云机器人提供了一个强大的和可扩展的环境,以卸载计算昂贵的算法,从而产生低成本的处理器和轻型机器人。软件产品线允许最终用户部署和配置复杂的机器人应用程序,而无需处理配置算法和设计架构等低级问题。本文对所提出的方法进行了深入的讨论,并通过实例说明了该方法的优越性。
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A Software Product Line Approach for Configuring Cloud Robotics Applications
The computational requirements of the increasingly sophisticated algorithms used in today's robotics software applications have outpaced the onboard processors of the average robot. Furthermore, the development and configuration of these applications are difficult tasks that require expertise in diverse domains, including software engineering, control engineering, and computer vision. As a solution to these problems, this paper extends and integrates our previous works, which are based on two promising techniques: Cloud Robotics and Software Product Lines. Cloud Robotics provides a powerful and scalable environment to offload the computationally expensive algorithms resulting in low-cost processors and light-weight robots. Software Product Lines allow the end user to deploy and configure complex robotics applications without dealing with low-level problems such as configuring algorithms and designing architectures. This paper discusses the proposed method in depth, and demonstrates its advantages with a case study.
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