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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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2023 (English)In: IEEE robotics & automation magazine, ISSN 1070-9932, E-ISSN 1558-223XArticle in journal (Refereed) Epub ahead of print
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, 2023.
Keywords [en]
Robots, Safety, Navigation, Mobile robots, Human-robot interaction, Hidden Markov models, Trajectory
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:oru:diva-108145DOI: 10.1109/MRA.2023.3296983ISI: 001051249900001OAI: oai:DiVA.org:oru-108145DiVA, id: diva2:1797296
Funder
EU, Horizon 2020, 732737Available from: 2023-09-14 Created: 2023-09-14 Last updated: 2024-04-23Bibliographically 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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IEEE robotics & automation magazine
Computer Vision and Robotics (Autonomous Systems)

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