通过 RoboChart 和 RoboTool 对机器人控制器软件进行形式化设计、验证和实施

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Wei Li, Pedro Ribeiro, Alvaro Miyazawa, Richard Redpath, Ana Cavalcanti, Kieran Alden, Jim Woodcock, Jon Timmis
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引用次数: 0

摘要

目前,机器人控制器的模拟和实现通常是在高层设计图和伪代码的指导下进行的。因此,机器人控制器的设计与开发之间没有建立严格的联系。本文提出了一个设计机器人控制器的框架,支持自动生成可执行代码和自动属性检查。本文介绍了一种基于状态机的符号--RoboChart 和一种工具(RoboTool),该工具可根据设计的控制器自动生成代码和数学模型。我们通过一个机器人执行探索任务的案例研究,展示了 RoboChart 及其相关工具的应用。自动生成的代码与平台无关,可用于模拟和两种不同的物理机器人平台。根据 RoboTool 生成的数学模型对属性进行正式检查,并在实际模拟和物理实验中进一步验证。该工具不仅为工程师提供了正式设计机器人控制器的方法,还为正确实施机器人系统铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Formal design, verification and implementation of robotic controller software via RoboChart and RoboTool

Formal design, verification and implementation of robotic controller software via RoboChart and RoboTool

Current practice in simulation and implementation of robot controllers is usually undertaken with guidance from high-level design diagrams and pseudocode. Thus, no rigorous connection between the design and the development of a robot controller is established. This paper presents a framework for designing robotic controllers with support for automatic generation of executable code and automatic property checking. A state-machine based notation, RoboChart, and a tool (RoboTool) that implements the automatic generation of code and mathematical models from the designed controllers are presented. We demonstrate the application of RoboChart and its related tool through a case study of a robot performing an exploration task. The automatically generated code is platform independent and is used in both simulation and two different physical robotic platforms. Properties are formally checked against the mathematical models generated by RoboTool, and further validated in the actual simulations and physical experiments. The tool not only provides engineers with a way of designing robotic controllers formally but also paves the way for correct implementation of robotic systems.

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来源期刊
Autonomous Robots
Autonomous Robots 工程技术-机器人学
CiteScore
7.90
自引率
5.70%
发文量
46
审稿时长
3 months
期刊介绍: Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development. The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.
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