A containerised approach for multiform robotic applications

Giuseppe Cotugno, Rafael Afonso Rodrigues, Graham Deacon, J. Konstantinova
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Abstract

As the area of robotics achieves promising results, there is an increasing need to scale robotic software architectures towards real-world domains. Traditionally, robotic architectures are integrated using common frameworks, such as ROS. Therefore, systems with a uniform structure are produced, making it difficult to integrate third party contributions. Virtualisation technologies can simplify the problem, but their use is uncommon in robotics and general integration procedures are still missing. This paper proposes and evaluates a containerised approach for designing and integrating multiform robotic architectures. Our approach aims at augmenting preexisting architectures by including third party contributions. The integration complexity and computational performance of our approach is benchmarked on the EU H2020 SecondHands robotic architecture. Results demonstrate that our approach grants simplicity and flexibility of setup when compared to a non-virtualised version. The computational overhead of using our approach is negligible as resources were optimally exploited.
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多形式机器人应用的集装箱化方法
随着机器人技术领域取得了令人鼓舞的成果,人们越来越需要将机器人软件架构扩展到现实世界的各个领域。传统上,机器人架构都是使用 ROS 等通用框架集成的。因此,系统结构千篇一律,难以整合第三方的贡献。虚拟化技术可以简化这一问题,但在机器人技术中的应用并不常见,通用集成程序仍然缺失。本文提出并评估了一种容器化方法,用于设计和集成多形式机器人架构。我们的方法旨在通过纳入第三方贡献来增强现有架构。我们在欧盟 H2020 SecondHands 机器人架构上对该方法的集成复杂性和计算性能进行了基准测试。结果表明,与非虚拟化版本相比,我们的方法提供了设置的简便性和灵活性。由于资源得到了优化利用,因此使用我们的方法的计算开销可以忽略不计。
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