2026-05-31T10:57:58Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/341862026-02-03T11:09:11Zcom_10630_2254col_10630_37953
Molina, Sergi
Mannucci, Anna
Magnusson, Martin
Adolfsson, Daniel
Andreasson, Henrik
Hamad, Mazin
Abdolshah, Saeed
Chadalavada, Ravi Teja
Palmieri, Luigi
Linder, Timm
Swaminathan, Chittaranjan Srinivas
Kucner, Tomasz Piotr
Hanheide, Marc
Fernández-Carmona, Manuel
Cielniak, Grzegorz
Duckett, Tom
Pecora, Federico
Bokesand, Simon
Arras, Kai O.
Haddadin, Sami
Lilienthal, Achim J.
2024-10-02T09:30:28Z
2024-10-02T09:30:28Z
2023-08-11
https://hdl.handle.net/10630/34186
10.1109/MRA.2023.3296983
Current intralogistics services require keeping up with e-commerce demands, reducing delivery times and waste, and increasing overall flexibility. As a consequence, the use of automated guided vehicles (AGVs) and, more recently, autonomous mobile robots (AMRs) for logistics operations is steadily increasing.
eng
open access
Robots industriales
Aprendizaje automático (Inteligencia artificial)
The ILIAD safety stack: human-aware infrastructure-free navigation of industrial mobile robots
journal article