Unpacking the Complexity of Autonomous Mobile Robot (AMR) Communication Intentions Through Ontology

Nicolas Niessen, Florian Rothmeyer, Andreas Rücker, Johannes Fottner, Klaus Bengler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Autonomous Mobile Robots (AMRs) performing intralogistics tasks continue to have a growing presence on shop floors of warehouses and factories. In most cases, they operate in the same working space as human workers and therefore need to communicate with them. In research and industry, there are several communication tools addressing different communication intentions of the robots. In this paper we propose an ontology that provides an overview of the most common and essential intentions of intralogistics AMRs, enabling manufacturers and users to design, describe and verify their robot’s interaction capabilities. The set of intentions is created through an iterative process, including two workshops with experts from the industry. The resulting ontology contains twelve main intentions, each assigned to one or more categories (moving, idle, safety area, special status and safety-relevant). Possible applications include the aforementioned usage by manufacturers and users of AMRs in intralogistics but may be expanded to other robots and fields.

Original languageEnglish
Title of host publicationHuman-Friendly Robotics 2023 - HFR
Subtitle of host publication16th International Workshop on Human-Friendly Robotics
EditorsCristina Piazza, Patricia Capsi-Morales, Luis Figueredo, Manuel Keppler, Hinrich Schütze
PublisherSpringer Nature
Number of pages11
ISBN (Print)9783031549991
StatePublished - 2024
Event16th International Workshop on Human-Friendly Robotics, HFR 2023 - Munich, Germany
Duration: 20 Sep 202321 Sep 2023

Publication series

NameSpringer Proceedings in Advanced Robotics
Volume29 SPAR
ISSN (Print)2511-1256
ISSN (Electronic)2511-1264


Conference16th International Workshop on Human-Friendly Robotics, HFR 2023


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