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Software, Volume 5, Issue 1 (March 2026) – 1 article

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19 pages, 5507 KB  
Article
RoboDeploy: A Metamodel-Driven Framework for Automated Multi-Host Docker Deployment of ROS 2 Systems in IoRT Environments
by Miguel Ángel Barcelona, Laura García-Borgoñón, Pablo Torner and Ariadna Belén Ruiz
Software 2026, 5(1), 1; https://doi.org/10.3390/software5010001 (registering DOI) - 19 Dec 2025
Abstract
Robotic systems increasingly operate in complex and distributed environments, where software deployment and orchestration pose major challenges. This paper presents a model-driven approach that automates the containerized deployment of robotic systems in Internet of Robotic Things (IoRT) environments. Our solution integrates Model-Driven Engineering [...] Read more.
Robotic systems increasingly operate in complex and distributed environments, where software deployment and orchestration pose major challenges. This paper presents a model-driven approach that automates the containerized deployment of robotic systems in Internet of Robotic Things (IoRT) environments. Our solution integrates Model-Driven Engineering (MDE) with containerization technologies to improve scalability, reproducibility, and maintainability. A dedicated metamodel introduces high-level abstractions for describing deployment architectures, repositories, and container configurations. A web-based tool enables collaborative model editing, while an external deployment automator generates validated Docker and Compose artifacts to support seamless multi-host orchestration. We validated the approach through real-world experiments, which show that the method effectively automates deployment workflows, ensures consistency across development and production environments, and significantly reduces configuration effort. These results demonstrate that model-driven automation can bridge the gap between Software Engineering (SE) and robotics, enabling Software-Defined Robotics (SDR) and supporting scalable IoRT applications. Full article
(This article belongs to the Topic Software Engineering and Applications)
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