Model-Driven Development in Robotics Domain: A Systematic Literature Review

T. Heineck, E. Gonçalves, Aêda Sousa, Marcos Antonio de Oliveira, J. Castro
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引用次数: 6

Abstract

Robots are complex agents composed of various sensors and actuators that work together with software to meet specific requirements. The subset of robots that has the ability to interact among them and even with people, through gestures or speaking, is known as Social Robots. Model-Driven Development is a promising paradigm because it promotes the reuse of components and quick code generation with quality. ModelDriven Development has been widely used in the context of Robotics in order to reduce complexity, reduce development effort and reuse of software. Due to these facts, it becomes pertinent the development of a systematic literature review to compile these results. In this paper we investigate how MDD techniques have helped the field of Robotics, therefore a systematic literature review was conducted seeking to identify approaches and their main technical features, as well as the types of specific requirements, behavioral and social issues. We came to conclusion that the existing approaches provide many interesting capabilities, typically by using the component-based development paradigm seeking a higher level of software reuse and facilitating the implementation of systems.
机器人领域的模型驱动开发:系统文献综述
机器人是由各种传感器和执行器组成的复杂代理,它们与软件一起工作以满足特定的要求。有能力通过手势或说话在机器人之间甚至与人互动的机器人子集被称为社交机器人。模型驱动开发是一个很有前途的范例,因为它促进了组件的重用和高质量的快速代码生成。模型驱动开发已广泛应用于机器人领域,以降低复杂性,减少开发工作量和软件的重用。由于这些事实,有必要进行系统的文献综述来汇编这些结果。在本文中,我们研究了MDD技术如何帮助机器人领域,因此进行了系统的文献综述,以寻求确定方法及其主要技术特征,以及特定需求,行为和社会问题的类型。我们得出的结论是,现有的方法提供了许多有趣的功能,通常是通过使用基于组件的开发范例来寻求更高级别的软件重用和促进系统的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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