6533b862fe1ef96bd12c605c
RESEARCH PRODUCT
Assembly Process Modeling Through Long Short-Term Memory
Alexandru DorobantiuConstantin-bala ZamfirescuStefan-alexandru PrecupArpad Gellertsubject
0209 industrial biotechnologyProcess modelingComputer sciencebusiness.industryContrast (statistics)Context (language use)02 engineering and technologyModular designMachine learningcomputer.software_genreLong short term memory020901 industrial engineering & automationComponent (UML)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerdescription
This paper studies Long Short-Term Memory as a component of an adaptive assembly assistance system suggesting the next manufacturing step. The final goal is an assistive system able to help the inexperienced workers in their training stage or even experienced workers who prefer such support in their manufacturing activity. In contrast with the earlier analyzed context-based techniques, Long Short-Term Memory can be applied in unknown scenarios. The evaluation was performed on the data collected previously in an experiment with 68 participants assembling as target product a customizable modular tablet. We are interested in identifying the most accurate method of next assembly step prediction. The results show that the prediction based on Long Short-Term Memory is better fitted to new (previously unseen) data.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 |