Ontology for autonomous robotics

Joanna Isabelle Olszewska; Marcos Barreto; Julita Bermejo-Alonso; Joel Carbonera; Abdelghani Chibani; Sandro Fiorini; Paulo Goncalves; Maki Habib; Alaa Khamis; Alberto Olivares; Edison Pignaton De Freitas; Edson Prestes; S. Veera Ragavan; Signe Redfield; Ricardo Sanz; Bruce Spencer; Howard Li

doi:10.1109/ROMAN.2017.8172300

Ontology for autonomous robotics

Joanna Isabelle Olszewska
, Marcos Barreto
, Julita Bermejo-Alonso
, Joel Carbonera
, Abdelghani Chibani
, Sandro Fiorini
, Paulo Goncalves
, Maki Habib
, Alaa Khamis
, Alberto Olivares
, Edison Pignaton De Freitas
, Edson Prestes
, S. Veera Ragavan
, Signe Redfield
, Ricardo Sanz
, Bruce Spencer
, Howard Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

76 Scopus citations

Abstract

Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.

Original language	English
Title of host publication	RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	189-194
Number of pages	6
ISBN (Electronic)	9781538635186
DOIs	https://doi.org/10.1109/ROMAN.2017.8172300
State	Published - 8 Dec 2017
Externally published	Yes
Event	26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal Duration: 28 Aug 2017 → 1 Sep 2017

Publication series

Name	RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
Volume	2017-January

Conference

Conference	26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
Country/Territory	Portugal
City	Lisbon
Period	28/08/17 → 1/09/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Human-Computer Interaction
Control and Optimization

Access to Document

10.1109/ROMAN.2017.8172300

Cite this

Olszewska, J. I., Barreto, M., Bermejo-Alonso, J., Carbonera, J., Chibani, A., Fiorini, S., Goncalves, P., Habib, M., Khamis, A., Olivares, A., De Freitas, E. P., Prestes, E., Ragavan, S. V., Redfield, S., Sanz, R., Spencer, B., & Li, H. (2017). Ontology for autonomous robotics. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication (pp. 189-194). (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2017.8172300

Olszewska, Joanna Isabelle ; Barreto, Marcos ; Bermejo-Alonso, Julita et al. / Ontology for autonomous robotics. RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 189-194 (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication).

@inproceedings{4d68a89e7be04469958cfa5ac3ff68ba,

title = "Ontology for autonomous robotics",

abstract = "Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.",

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doi = "10.1109/ROMAN.2017.8172300",

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Olszewska, JI, Barreto, M, Bermejo-Alonso, J, Carbonera, J, Chibani, A, Fiorini, S, Goncalves, P, Habib, M, Khamis, A, Olivares, A, De Freitas, EP, Prestes, E, Ragavan, SV, Redfield, S, Sanz, R, Spencer, B & Li, H 2017, Ontology for autonomous robotics. in RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 189-194, 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017, Lisbon, Portugal, 28/08/17. https://doi.org/10.1109/ROMAN.2017.8172300

Ontology for autonomous robotics. / Olszewska, Joanna Isabelle; Barreto, Marcos; Bermejo-Alonso, Julita et al.
RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2017. p. 189-194 (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Carbonera, Joel

AU - Chibani, Abdelghani

AU - Fiorini, Sandro

AU - Goncalves, Paulo

AU - Habib, Maki

AU - Khamis, Alaa

AU - Olivares, Alberto

AU - De Freitas, Edison Pignaton

AU - Prestes, Edson

AU - Ragavan, S. Veera

AU - Redfield, Signe

AU - Sanz, Ricardo

AU - Spencer, Bruce

AU - Li, Howard

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N2 - Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.

AB - Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.

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M3 - Conference contribution

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Olszewska JI, Barreto M, Bermejo-Alonso J, Carbonera J, Chibani A, Fiorini S et al. Ontology for autonomous robotics. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc. 2017. p. 189-194. (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication). doi: 10.1109/ROMAN.2017.8172300

Ontology for autonomous robotics

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this