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The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots
University of Lincoln, Lincoln, U.K.
Robert Bosch GmbH, Renningen, Germany.
Örebro University, School of Science and Technology.ORCID iD: 0000-0001-8658-2985
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-2504-2488
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2024 (English)In: IEEE robotics & automation magazine, ISSN 1070-9932, E-ISSN 1558-223X, Vol. 31, no 3, p. 48-59Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE, 2024. Vol. 31, no 3, p. 48-59
Keywords [en]
Robots, Safety, Navigation, Mobile robots, Human-robot interaction, Hidden Markov models, Trajectory
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:oru:diva-108145DOI: 10.1109/MRA.2023.3296983ISI: 001051249900001Scopus ID: 2-s2.0-85167792783OAI: oai:DiVA.org:oru-108145DiVA, id: diva2:1797296
Funder
EU, Horizon 2020, 732737Available from: 2023-09-14 Created: 2023-09-14 Last updated: 2025-02-07Bibliographically approved

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Magnusson, MartinAdolfsson, DanielAndreasson, HenrikChadalavada, Ravi TejaSwaminathan, Chittaranjan SrinivasPecora, FedericoLilienthal, Achim J

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Magnusson, MartinAdolfsson, DanielAndreasson, HenrikChadalavada, Ravi TejaSwaminathan, Chittaranjan SrinivasFernandez-Carmona, ManuelPecora, FedericoLilienthal, Achim J
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CiteExportLink to record
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  • apa
  • ieee
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