Diagrammatic physical robot models.

IF 3.2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software and Systems Modeling Pub Date : 2025-01-01 Epub Date: 2025-03-12 DOI:10.1007/s10270-025-01270-9
Alvaro Miyazawa, Sharar Ahmadi, Ana Cavalcanti, James Baxter, Mark Post, Pedro Ribeiro, Jon Timmis, Thomas Wright
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引用次数: 0

Abstract

Simulation is a favoured technique in robotics. It is, however, costly, in terms of development time, and its usability is limited by the lack of standardisation and portability of simulators. We present RoboSim, a diagrammatic tool-independent domain-specific language to model robotic platforms and their controllers. It can be regarded as a profile of UML/SysML enriched with time primitives, differential equations, and a mathematical semantics. Our previous work on RoboSim described a notation to specify control software. In this paper, we present a novel notation to describe physical models: block diagrams that can be linked to the platform-independent software model to characterise how services required by the software are realised by actuators and sensors. Behaviours are specified by differential equations, and simulations and mathematical models of the whole system can be generated automatically. Our main contributions are a modular and extensible diagrammatic notation that supports the explicit specification of physical behaviours; a set of validation rules that identify well-formed models; a model-to-model transformation from RoboSim to an input format accepted by several simulators; and a formal semantics for mathematical reasoning.

图解物理机器人模型。
仿真是机器人技术中最受欢迎的技术。然而,就开发时间而言,它是昂贵的,而且它的可用性受到模拟器缺乏标准化和可移植性的限制。我们提出RoboSim,一种独立于图表工具的领域特定语言,用于建模机器人平台及其控制器。它可以被看作是一个丰富了时间原语、微分方程和数学语义的UML/SysML概要文件。我们之前在RoboSim上的工作描述了一个指定控制软件的符号。在本文中,我们提出了一种新的符号来描述物理模型:可以链接到平台无关的软件模型的方框图,以表征执行器和传感器如何实现软件所需的服务。通过微分方程来描述系统的行为,并自动生成整个系统的仿真和数学模型。我们的主要贡献是模块化和可扩展的图解符号,支持物理行为的明确规范;识别格式良好的模型的一组验证规则;从RoboSim到多个模拟器接受的输入格式的模型到模型转换;以及数学推理的形式语义。
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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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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