TY - GEN
T1 - Unpacking the Complexity of Autonomous Mobile Robot (AMR) Communication Intentions Through Ontology
AU - Niessen, Nicolas
AU - Rothmeyer, Florian
AU - Rücker, Andreas
AU - Fottner, Johannes
AU - Bengler, Klaus
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85188711280&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-55000-3_16
DO - 10.1007/978-3-031-55000-3_16
M3 - Conference contribution
AN - SCOPUS:85188711280
SN - 9783031549991
T3 - Springer Proceedings in Advanced Robotics
SP - 229
EP - 239
BT - Human-Friendly Robotics 2023 - HFR
A2 - Piazza, Cristina
A2 - Capsi-Morales, Patricia
A2 - Figueredo, Luis
A2 - Keppler, Manuel
A2 - Schütze, Hinrich
PB - Springer Nature
T2 - 16th International Workshop on Human-Friendly Robotics, HFR 2023
Y2 - 20 September 2023 through 21 September 2023
ER -