Title
ViTroVo: in vitro assembly search for in vivo adaptive operator guidance: An artificial intelligence framework for highly customised manufacturing
Author
Grappiolo, C.
Pruim, R.
Faeth, M.
de Heer, P.B.U.L.
Publication year
2021
Abstract
Product customisation is a topic of growing interest in Smart Manufacturing. Allowing customers to design intended products brings additional challenges to the manufacturing task, such as the increase in flexibility of the assembly theatre, the compilation of assembly instructions for possibly unique products, and stress-related risks for human operators. This work introduces ViTroVo, an artificial intelligence framework capable of (1) autonomously building a graph of assembly steps via trial-and-error (in vitro Assembly Search) and (2) presenting relevant instructions to a human operator and, by autonomously detecting her progress and affective state, adapting accordingly (in vivo Adaptive Operator Guidance). The power of ViTroVo resides in its versatile way to manipulate a given product’s component Augmented Computer Aided Design (CAD+) models throughout the whole assembly task. We conducted an empirical evaluation involving participants instructed to assemble a previously unseen product. The encouraging results make us believe ViTroVo’s architecture could become the foundations of highly customised flexible manufacturing
Subject
Adaptive Operator Guidance
Artificial Intelligence
Assembly Sequence Planning
Augmented CAD models
Customised manufacturing
Virtual Environment
Artificial intelligence
Computer aided design
Product design
Adaptive operators
Assembly instructions
Empirical evaluations
Flexible manufacturing
Manufacturing tasks
Product customisation
Smart manufacturing
Trial and error
Assembly
To reference this document use:
http://resolver.tudelft.nl/uuid:205fff96-1314-4ed5-8019-85440c387bd8
TNO identifier
967659
Publisher
Springer Science and Business Media Deutschland GmbH
ISSN
0268-3768
Source
International Journal of Advanced Manufacturing Technology, 117 (117), 3873-3893
Document type
article