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

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

16 Citations (Scopus)

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.

Original language	English
Title of host publication	2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509013142
DOIs	https://doi.org/10.1109/ETFA.2016.7733573
Publication status	Published - 3 Nov 2016
Externally published	Yes
Event	21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 - Berlin, Germany Duration: 6 Sept 2016 → 9 Sept 2016

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2016-November
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

Conference

Conference	21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Country/Territory	Germany
City	Berlin
Period	6/09/16 → 9/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Collaborative robots
Multimodal Interaction
Natural Communication
Reasoning
Safe Human-Robot Collaboration
Semantic Web Technologies

Access to Document

10.1109/ETFA.2016.7733573

Cite this

Maurtua, I., Fernandez, I., Kildal, J., Susperregi, L., Tellaeche, A., & Ibarguren, A. (2016). Enhancing safe human-robot collaboration through natural multimodal communication. In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016 Article 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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booktitle = "2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016",

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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. in 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, Germany, 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).

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

TY - GEN

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

AU - Maurtua, Inaki

AU - Fernandez, Izaskun

AU - Kildal, Johan

AU - Susperregi, Loreto

AU - Tellaeche, Alberto

AU - Ibarguren, Aitor

PY - 2016/11/3

Y1 - 2016/11/3

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

UR - https://www.scopus.com/pages/publications/84996590202

U2 - 10.1109/ETFA.2016.7733573

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.

T2 - 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016

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. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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