Enabling End-Users in Designing and Executing of Complex, Collaborative Robotic Processes

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Helmut Zörrer, G. Weichhart, Mathias Schmoigl Tonis, Till Bieg, Matthias Propst, Dominik Schuster, N. Sturm, Chloé Nativel, Gabriele Salomon, F. Strohmeier, A. Sackl, Michael Eberle, A. Pichler
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Abstract

Over the last years, capabilities of robotic systems have quantitatively and qualitatively improved. But going beyond isolated robotic systems, the integration and interoperability of robotic capabilities in complex work processes remains a major challenge. This lack of tools to integrate robots needs to be addressed on technical, semantic and organizational level. In the ROBxTASK research project, we developed an approach to support cooperation between different types of users in order to enable domain experts, with no robotic know-how, to work with robot-assisted workflows. By engineering robotic skills at a useful and usable level of abstraction for experts in different domains, we aim to increase re-usability of these skills on two different levels, (robotic) device level, and on level of application specific workflows. The researched prototype consists of a web platform, which allows (a) engineers to register (robotic) devices and the implemented skills of the devices, (b) domain experts to use a graphical task design environment to create workflows across multiple robotic devices and lastly (c) robot co-workers to download and execute the workflow code in a local environment with digital twins or real robots. Additionally skills and workflows can be shared across organisations. Initial user studies have shown that the visual programming environment is accessible and the defined skill-set is easy to understand even for domain experts that are inexperienced in the field of robotics.
使最终用户能够设计和执行复杂的协作机器人过程
在过去的几年里,机器人系统的能力在数量和质量上都有所提高。但是,超越孤立的机器人系统,机器人能力在复杂工作过程中的集成和互操作性仍然是一个重大挑战。缺乏集成机器人的工具需要在技术、语义和组织层面上加以解决。在ROBxTASK研究项目中,我们开发了一种支持不同类型用户之间合作的方法,以使没有机器人专业知识的领域专家能够使用机器人辅助的工作流。通过为不同领域的专家设计有用和可用的抽象级别的机器人技能,我们的目标是在两个不同级别上提高这些技能的可重用性,即(机器人)设备级别和特定应用程序工作流级别。所研究的原型由一个网络平台组成,该平台允许(a)工程师注册(机器人)设备和设备的实现技能,(b)领域专家使用图形任务设计环境在多个机器人设备上创建工作流,最后(c)机器人同事在本地环境中使用数字双胞胎或真实机器人下载并执行工作流代码。此外,还可以在各组织之间共享技能和工作流程。最初的用户研究表明,即使对于在机器人领域缺乏经验的领域专家来说,可视化编程环境也是可以访问的,并且定义的技能集也很容易理解。
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
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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