Abstract
A B S T R AC T Industrial computed tomography requires extensive expert knowledge. This paper presents a concept to automate the parameterization of measurements by reinforcement learning. Within a simulation, agents are supposed to learn measurement strategies such as the design of time-mini-mal measurements. Even though current virtual CTs allow realistic measurements, their runtime currently still prevents their use as an efficient training environment.
| Translated title of the contribution | Automating CT measurements |
|---|---|
| Original language | German |
| Journal | WT Werkstattstechnik |
| Volume | 113 |
| Issue number | 11-12 |
| Pages (from-to) | 545-549 |
| Number of pages | 5 |
| ISSN | 1436-5006 |
| DOIs | |
| Publication status | Published - 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023, VDI Fachmedien GmBH & Co. KG. All rights reserved.
Research areas and keywords
- Engineering
ASJC Scopus Subject Areas
- Automotive Engineering
- Control and Systems Engineering
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