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.
Authors
- Vera Hummel
- Jan Schuhmacher
- Muhammad Hamid (ORCID: https://orcid.org/0000-0002-2440-6596)
Institutions
- Stellenbosch University (ZA)
- Reutlingen University (DE)
Publication Details
- Journal
- Procedia CIRP
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procir.2025.08.133
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg