Nowadays, we are surrounded by virtual assistants in everyday life. But one domain that is assumed to massively benefit from virtual assistants, is manufacturing. In particular, where activities are reliant on human expertise and knowledge, a virtual assistant could help support the human. The vision of this work is inspired by the need for bringing an assembly system more rapidly to an operational state. To achieve this vision, a decision-support framework that aims to better integrate the human operator into the ramp-up activity is proposed. As part of this framework, natural language processing tools are applied to allow the development of a virtual assistant for the ramp-up process. This paper provides an overview of the current work in progress, which is part of a PhD research undertaken at the Intelligent Automation Centre at Loughborough University. It outlines the initial efforts and future steps that have been completed and are planned.
The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 680735, project openMOS (Open Dynamic Manufacturing Operating System for Smart Plug-and-Produce Automation Components).
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
UKRAS20 Conference: “Robots into the real world” Proceedings
Pages
108 - 110
Source
UKRAS20 Conference
Publisher
EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network
Version
AM (Accepted Manuscript)
Publisher statement
This paper was accepted for publication in the UKRAS20 Conference: “Robots into the real world” Proceedings and the definitive published version is available at https://doi.org/10.31256/Qx5Dt5V.