RobotML for industrial robots: Design and simulation of manipulation scenarios

Selma Kchir, S. Dhouib, Jérémie Tatibouet, Baptiste Gradoussoff, Max Da Silva Simoes
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引用次数: 8

Abstract

Robotic systems are a typical example of complex systems. Their design involves a combination of different technologies, requiring a multi-disciplinary approach. This is particularly challenging when a robotic system is required to interact either with humans or other entities within its environment. To tackle this complexity, we propose a design and validation approach based on MDE (Model-Driven Engineering) principles for industrial manipulators. We propose an extension of RobotML for manipulation, a modelling environment based on the Papyrus tool, which was developed specifically for the robotics domain. The extension is aiming to model a complete robotic setting, including protagonists, objects, their properties, the interactions between them, the services provided by the robots, and the actions they can perform. Then we propose to use model execution techniques to validate the design models. We illustrate our approach on a robotic scenario dedicated to the Sybot collaborative robot.
工业机器人的RobotML:操作场景的设计与仿真
机器人系统是复杂系统的一个典型例子。它们的设计涉及不同技术的组合,需要多学科的方法。当机器人系统需要与人类或其环境中的其他实体进行交互时,这尤其具有挑战性。为了解决这种复杂性,我们提出了一种基于MDE(模型驱动工程)原理的工业机械手设计和验证方法。我们提出了一个扩展的RobotML操作,一个基于Papyrus工具的建模环境,这是专门为机器人领域开发的。该扩展旨在模拟一个完整的机器人设置,包括主角、对象、它们的属性、它们之间的交互、机器人提供的服务以及它们可以执行的动作。然后,我们建议使用模型执行技术来验证设计模型。我们在一个专门用于Sybot协作机器人的机器人场景中说明我们的方法。
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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