Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy

Using Augmented Reality (AR) in the production of home appliances is an understudied field, even more its use in circular economy. Further, also the application of Artificial Intelligence (AI) for validating that an AR instructed task was actually carried out correctly is an underexplored area. In this work we present the novel concept for an AR disassembly station to recover parts from returned washing machines in a circular economy approach, validating that the disassembly is carried out correctly using a YOLO-based AI model. A last challenge, tackled in this work resulting from the circular economy background, is the adaptability of the AR instructions that need to change depending on the varying conditions of the recovered parts in units of the same model.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00338
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy

Sebastian Knopp, Mario Lorenz, Arwa Own, Martin Okoniewski
Advanced Manufacturing and Logistics Optimization
article

Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy

Sebastian Knopp, Mario Lorenz, Arwa Own, Martin Okoniewski
article en

Abstract

Using Augmented Reality (AR) in the production of home appliances is an understudied field, even more its use in circular economy. Further, also the application of Artificial Intelligence (AI) for validating that an AR instructed task was actually carried out correctly is an underexplored area. In this work we present the novel concept for an AR disassembly station to recover parts from returned washing machines in a circular economy approach, validating that the disassembly is carried out correctly using a YOLO-based AI model. A last challenge, tackled in this work resulting from the circular economy background, is the adaptability of the AR instructions that need to change depending on the varying conditions of the recovered parts in units of the same model.

Chemnitz University of Technology (DE)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 89%
Advanced Manufacturing and Logistics Optimization
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Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy — Sebastian Knopp, Mario Lorenz, et al. · (2025) | TGRS Research Map | TGRS