Enhancing safe human-robot collaboration through natural multimodal communication

Inaki Maurtua; Izaskun Fernandez; Johan Kildal; Loreto Susperregi; Alberto Tellaeche; Aitor Ibarguren

doi:10.1109/ETFA.2016.7733573

Enhancing safe human-robot collaboration through natural multimodal communication

Inaki Maurtua
, Izaskun Fernandez
, Johan Kildal
, Loreto Susperregi
, Alberto Tellaeche
, Aitor Ibarguren

TEKNIKER

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

16 Citas (Scopus)

Resumen

This paper presents a semantic multimodal interaction approach between humans and industrial robots to enhance the dependability of the collaboration in real industrial settings. Although this generic approach can be applied in different industrial scenarios, this paper explains in detail how it is implemented in a real case to enhance the accuracy of requests interpretation in order to achieve a more efficient, easy to scale and maintain collaboration between humans and robots.

Idioma original	Inglés
Título de la publicación alojada	2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781509013142
DOI	https://doi.org/10.1109/ETFA.2016.7733573
Estado	Publicada - 3 nov 2016
Publicado de forma externa	Sí
Evento	21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 - Berlin, Alemania Duración: 6 sept 2016 → 9 sept 2016

Serie de la publicación

Nombre	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volumen	2016-November
ISSN (versión impresa)	1946-0740
ISSN (versión digital)	1946-0759

Conferencia

Conferencia	21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
País/Territorio	Alemania
Ciudad	Berlin
Período	6/09/16 → 9/09/16

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura

Acceder al documento

10.1109/ETFA.2016.7733573

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Maurtua, I., Fernandez, I., Kildal, J., Susperregi, L., Tellaeche, A., & Ibarguren, A. (2016). Enhancing safe human-robot collaboration through natural multimodal communication. En 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016 Artículo 7733573 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2016.7733573

Maurtua, Inaki ; Fernandez, Izaskun ; Kildal, Johan et al. / Enhancing safe human-robot collaboration through natural multimodal communication. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

@inproceedings{6398356e1c1a4e7ba97b1156be93f8cd,

title = "Enhancing safe human-robot collaboration through natural multimodal communication",

abstract = "This paper presents a semantic multimodal interaction approach between humans and industrial robots to enhance the dependability of the collaboration in real industrial settings. Although this generic approach can be applied in different industrial scenarios, this paper explains in detail how it is implemented in a real case to enhance the accuracy of requests interpretation in order to achieve a more efficient, easy to scale and maintain collaboration between humans and robots.",

keywords = "Collaborative robots, Multimodal Interaction, Natural Communication, Reasoning, Safe Human-Robot Collaboration, Semantic Web Technologies",

author = "Inaki Maurtua and Izaskun Fernandez and Johan Kildal and Loreto Susperregi and Alberto Tellaeche and Aitor Ibarguren",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 ; Conference date: 06-09-2016 Through 09-09-2016",

year = "2016",

month = nov,

day = "3",

doi = "10.1109/ETFA.2016.7733573",

language = "English",

series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

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Maurtua, I, Fernandez, I, Kildal, J, Susperregi, L, Tellaeche, A & Ibarguren, A 2016, Enhancing safe human-robot collaboration through natural multimodal communication. En 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016., 7733573, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016, Berlin, Alemania, 6/09/16. https://doi.org/10.1109/ETFA.2016.7733573

Enhancing safe human-robot collaboration through natural multimodal communication. / Maurtua, Inaki; Fernandez, Izaskun; Kildal, Johan et al.
2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7733573 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2016-November).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Enhancing safe human-robot collaboration through natural multimodal communication

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AU - Fernandez, Izaskun

AU - Kildal, Johan

AU - Susperregi, Loreto

AU - Tellaeche, Alberto

AU - Ibarguren, Aitor

PY - 2016/11/3

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N2 - This paper presents a semantic multimodal interaction approach between humans and industrial robots to enhance the dependability of the collaboration in real industrial settings. Although this generic approach can be applied in different industrial scenarios, this paper explains in detail how it is implemented in a real case to enhance the accuracy of requests interpretation in order to achieve a more efficient, easy to scale and maintain collaboration between humans and robots.

AB - This paper presents a semantic multimodal interaction approach between humans and industrial robots to enhance the dependability of the collaboration in real industrial settings. Although this generic approach can be applied in different industrial scenarios, this paper explains in detail how it is implemented in a real case to enhance the accuracy of requests interpretation in order to achieve a more efficient, easy to scale and maintain collaboration between humans and robots.

KW - Collaborative robots

KW - Multimodal Interaction

KW - Natural Communication

KW - Reasoning

KW - Safe Human-Robot Collaboration

KW - Semantic Web Technologies

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DO - 10.1109/ETFA.2016.7733573

M3 - Conference contribution

AN - SCOPUS:84996590202

T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

BT - 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 6 September 2016 through 9 September 2016

ER -

Maurtua I, Fernandez I, Kildal J, Susperregi L, Tellaeche A, Ibarguren A. Enhancing safe human-robot collaboration through natural multimodal communication. En 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7733573. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA.2016.7733573

Enhancing safe human-robot collaboration through natural multimodal communication

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