面向小批量生产的机器人系统

A. Pichler, C. Wogerer
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引用次数: 12

摘要

在本文中,我们提出了一个原型系统作为新一代机器人工人的平台。处理定制、个性化和最终客户驱动的最高质量产品的批量大小需要能够补偿过程和环境中固有的不确定性的机器人技术。现有的生产工厂计划用于大多数变体,但对于所有产品的很大一部分,生产仍然需要人类工人的灵活性。因此,技术需要允许直观地访问机器人系统组件,而不是机器人专家。本文的主要贡献是为机器人工人提供了一个结合感知、自主规划和以用户为中心的人机交互设计的新框架。我们还提出了一个工业接口,允许操作员沉浸在复杂的工业机器人过程中,并转移任务知识和策略,以便在高水平上指挥机器人。该框架及其嵌入式方法已在小批量的垃圾箱拾取场景中实现和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards robot systems for small batch manufacturing
In this paper, we present a prototypical system as platform for a new generation of robotic workers. Dealing with customization, individualization and finally customer driven batch sizes of products of highest quality requires robot technologies that are able to compensate uncertainties inherent in processes and environment. Existing production plants are planned for the majority of variants, but for a significant portion of all products the flexibility of human workers is still required for production. Therefore technologies are required allowing intuitive access to robotic system components without being a robot expert. The main contribution of the paper is a novel framework for robotic workers combining perception, autonomous planning and a user-centered design of human-robot interaction. We also present an industrial interface that allows the operator to immerse into complex industrial robot processes and to transfer task knowledge and strategies for commanding robots on a high-level. The framework and its embedded methods have been implemented and evaluated in a bin picking scenario for small batch sizes.
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