DroSmarte Inventurprozesse – Wie durch den Einsatz von KI und Drohnen Prozesse optimiert werden können
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Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-38631-3_10
Reference17 articles.
1. Beul, M., Droeschel, D., Nieuwenhuisen, M., Quenzel, J., Houben, S., Behnke, S. (2018) Fast autonomous flight in warehouses for inventory applications, IEEE Robotics and Automation Letters 3 (2018) 3121–3128. doi:https://doi.org/10.1109/LRA.2018.2849833.
2. Cimini, C., Lagorio, A., Pirola, F., Pinto, R. (2019) Exploring human factors in logistics 4.0: empirical evidence from a case study, IFAC-PapersOnLine 52 (2019) 2183–2188. URL: http://www.sciencedirect.com/science/article/pii/S2405896319315137. doi:https://doi.org/10.1016/j.ifacol.2019.11.529, 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019.
3. Cristiani, D., Bottonelli, F., Trotta, A., Di Felice, M. (2020) Inventory management through mini-drones: Architecture and proof-of-concept implementation, in: 2020 IEEE 21st International Symposium on „A World of Wireless, Mobile and Multimedia Networks“ (WoWMoM), 2020, pp. 317–322. doi:https://doi.org/10.1109/WoWMoM49955.2020.00060.
4. Dörr, L., Brandt, F., Pouls, M., Naumann, A. (2020) Fully-automated packaging structure recognition in logistics environments, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), volume 1, 2020, pp. 526–533. doi:https://doi.org/10.1109/ETFA46521.2020.9212152
5. Fernández-Caramés, T.M.; Blanco-Novoa, O.; Froiz-Míguez, I.; Fraga-Lamas, P. (2019) Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management. Sensors 2019, 19, 2394. https://doi.org/10.3390/s19102394
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