The need for the multiple robots ontology: a backbone for collaborative multi-agent systems

Alberto Olivares-Alarcos; Edison Pignaton de Freitas; Joanna Olszewska; Veera Ragavan Sampath Kumar; Amelie Gyrard; Syed Ashque MD Khaled; Maki Habib; Maksym Figat; Abdelghani Chibani; João Quintas; Howard Li; Paulo J. S. Gonçalves

The need for the multiple robots ontology: a backbone for collaborative multi-agent systems

Alberto Olivares-Alarcos
, Edison Pignaton de Freitas
, Joanna Olszewska
, Veera Ragavan Sampath Kumar
, Amelie Gyrard
, Syed Ashque MD Khaled
, Maki Habib
, Maksym Figat
, Abdelghani Chibani
, João Quintas
, Howard Li
, Paulo J. S. Gonçalves

Research output: Contribution to conference › Paper › peer-review

Abstract

Collaborative Multi-Robot Systems (MRS) and Multi-Agent Systems (MAS), which are based on symbolic reasoning planners and/or integrating neural Large Language Models (LLMs), demand interoperable, semantically rich frameworks for reasoning, coordination, and trust building, while avoiding hallucinations. Current ontologies, such as IEEE 1872.2-2021 AuR ontology, offer foundational support but fall short in addressing the requirements of adaptive, cloud-integrated multi-robot collaboration. This study aims to identify key limitations in existing standards and propose directions for the development of ontologies such as the IEEE P1872.3 Multiple Robots Ontology that aims to address the gaps of the 1872 standard series.

Original language	English
Number of pages	4
Publication status	Published - 25 Aug 2025
Event	2025 IEEE International Conference on Robot and Human Interactive Communication Workshop - Eindhoven, Netherlands Duration: 25 Aug 2025 → 29 Aug 2025 https://www.ro-man2025.org/

Conference

Conference	2025 IEEE International Conference on Robot and Human Interactive Communication Workshop
Abbreviated title	IEEE RO-MAN 2025
Country/Territory	Netherlands
City	Eindhoven
Period	25/08/25 → 29/08/25
Internet address	https://www.ro-man2025.org/

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Cite this

Olivares-Alarcos, A., Pignaton de Freitas, E., Olszewska, J., Sampath Kumar, V. R., Gyrard, A., Khaled, S. A. MD., Habib, M., Figat, M., Chibani, A., Quintas, J., Li, H., & Gonçalves, P. J. S. (2025). The need for the multiple robots ontology: a backbone for collaborative multi-agent systems. Paper presented at 2025 IEEE International Conference on Robot and Human Interactive Communication Workshop, Eindhoven, Netherlands. https://wosra.github.io/j-wosmars/papers/

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title = "The need for the multiple robots ontology: a backbone for collaborative multi-agent systems",

abstract = " Collaborative Multi-Robot Systems (MRS) and Multi-Agent Systems (MAS), which are based on symbolic reasoning planners and/or integrating neural Large Language Models (LLMs), demand interoperable, semantically rich frameworks for reasoning, coordination, and trust building, while avoiding hallucinations. Current ontologies, such as IEEE 1872.2-2021 AuR ontology, offer foundational support but fall short in addressing the requirements of adaptive, cloud-integrated multi-robot collaboration. This study aims to identify key limitations in existing standards and propose directions for the development of ontologies such as the IEEE P1872.3 Multiple Robots Ontology that aims to address the gaps of the 1872 standard series.",

author = "Alberto Olivares-Alarcos and \{Pignaton de Freitas\}, Edison and Joanna Olszewska and \{Sampath Kumar\}, \{Veera Ragavan\} and Amelie Gyrard and Khaled, \{Syed Ashque MD\} and Maki Habib and Maksym Figat and Abdelghani Chibani and Jo{\~a}o Quintas and Howard Li and Gon{\c c}alves, \{Paulo J. S.\}",

year = "2025",

month = aug,

day = "25",

language = "English",

note = "2025 IEEE International Conference on Robot and Human Interactive Communication Workshop, IEEE RO-MAN 2025 ; Conference date: 25-08-2025 Through 29-08-2025",

url = "https://www.ro-man2025.org/",

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Olivares-Alarcos, A, Pignaton de Freitas, E, Olszewska, J, Sampath Kumar, VR, Gyrard, A, Khaled, SAMD, Habib, M, Figat, M, Chibani, A, Quintas, J, Li, H & Gonçalves, PJS 2025, 'The need for the multiple robots ontology: a backbone for collaborative multi-agent systems', Paper presented at 2025 IEEE International Conference on Robot and Human Interactive Communication Workshop, Eindhoven, Netherlands, 25/08/25 - 29/08/25. <https://wosra.github.io/j-wosmars/papers/>

The need for the multiple robots ontology: a backbone for collaborative multi-agent systems. / Olivares-Alarcos, Alberto; Pignaton de Freitas, Edison; Olszewska, Joanna et al.
2025. Paper presented at 2025 IEEE International Conference on Robot and Human Interactive Communication Workshop, Eindhoven, Netherlands.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - The need for the multiple robots ontology

T2 - 2025 IEEE International Conference on Robot and Human Interactive Communication Workshop

AU - Olivares-Alarcos, Alberto

AU - Pignaton de Freitas, Edison

AU - Olszewska, Joanna

AU - Sampath Kumar, Veera Ragavan

AU - Gyrard, Amelie

AU - Khaled, Syed Ashque MD

AU - Habib, Maki

AU - Figat, Maksym

AU - Chibani, Abdelghani

AU - Quintas, João

AU - Li, Howard

AU - Gonçalves, Paulo J. S.

PY - 2025/8/25

Y1 - 2025/8/25

N2 - Collaborative Multi-Robot Systems (MRS) and Multi-Agent Systems (MAS), which are based on symbolic reasoning planners and/or integrating neural Large Language Models (LLMs), demand interoperable, semantically rich frameworks for reasoning, coordination, and trust building, while avoiding hallucinations. Current ontologies, such as IEEE 1872.2-2021 AuR ontology, offer foundational support but fall short in addressing the requirements of adaptive, cloud-integrated multi-robot collaboration. This study aims to identify key limitations in existing standards and propose directions for the development of ontologies such as the IEEE P1872.3 Multiple Robots Ontology that aims to address the gaps of the 1872 standard series.

AB - Collaborative Multi-Robot Systems (MRS) and Multi-Agent Systems (MAS), which are based on symbolic reasoning planners and/or integrating neural Large Language Models (LLMs), demand interoperable, semantically rich frameworks for reasoning, coordination, and trust building, while avoiding hallucinations. Current ontologies, such as IEEE 1872.2-2021 AuR ontology, offer foundational support but fall short in addressing the requirements of adaptive, cloud-integrated multi-robot collaboration. This study aims to identify key limitations in existing standards and propose directions for the development of ontologies such as the IEEE P1872.3 Multiple Robots Ontology that aims to address the gaps of the 1872 standard series.

M3 - Paper

Y2 - 25 August 2025 through 29 August 2025

ER -

The need for the multiple robots ontology: a backbone for collaborative multi-agent systems

Abstract

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