AI-assisted configurator platform for sharing of industrial AGVs and AMRs
- This paper presents an AI-assisted configurator platform aimed at facilitating the sustainability-oriented sharing of Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) across various industries. By allowing users to specify transport requirements such as load units and throughput, the configurator generates tailored system configurations considering cost, performance, and energy consumption. Leveraging AI and machine learning, this platform addresses the evolving needs of companies in diverse global markets, promoting sustainable intralogistics solutions and enhancing operational efficiency through resource sharing.
| Author of HS Reutlingen | Hummel, Vera |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-58665 |
| DOI: | https://doi.org/10.1016/j.procir.2025.08.133 |
| ISSN: | 2212-8271 |
| Published in: | Procedia CIRP |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Document Type: | Journal article |
| Language: | English |
| Publication year: | 2025 |
| Volume: | 136 |
| Page Number: | 6 |
| First Page: | 781 |
| Last Page: | 786 |
| DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |
| 670 Industrielle und handwerkliche Fertigung | |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
