A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems
- DOI
- 10.5220/0013255300003890
- Published
- 2025
- Container
- Proceedings of the 17th International Conference on Agents and Artificial Intelligence
- Publisher
- SCITEPRESS - Science and Technology Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5220/0013255300003890,
title = {A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems},
author = {Paul Courtin and Jean-Baptiste Fasquel and Mehdi Lhommeau and Axel Grimault},
year = {2025},
journal = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence},
doi = {10.5220/0013255300003890},
url = {https://doi.org/10.5220/0013255300003890}
}RIS
TY - JOUR TI - A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems AU - Paul Courtin AU - Jean-Baptiste Fasquel AU - Mehdi Lhommeau AU - Axel Grimault PY - 2025 JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence DO - 10.5220/0013255300003890 UR - https://doi.org/10.5220/0013255300003890 ER -
APA
Courtin, P., Fasquel, J., Lhommeau, M., & Grimault, A. (2025). A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems. Proceedings of the 17th International Conference on Agents and Artificial Intelligence. https://doi.org/10.5220/0013255300003890
Source records
- crossref · retrieved 2026-09-25T19:24:25.371Z