A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools

Stefan Profanter; Ari Breitkreuz; Markus Rickert; Alois Knoll

doi:10.1109/ETFA.2019.8869205

A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools

Stefan Profanter
, Ari Breitkreuz
, Markus Rickert
, Alois Knoll

Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems

Technical University of Munich

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

46 Scopus citations

Abstract

The current trend to lot-size-one production requires reduced integration effort and easy reuse of available devices inside the production line. These devices have to offer a uniform interface to fulfill these requirements.This paper presents a hardware-agnostic skill model using the semantic modeling capabilities of OPC UA. The model provides a standardized interface to hardware or software functionality while offering an intuitive way of grouping multiple skills to a higher hierarchical abstraction.Our skill model is based on OPC UA Programs and modeled as an open source NodeSet. We hereby focus on the reusability of the skills for many different domains. The model is evaluated by controlling three different industrial robots and their tools through the same skill interface. The evaluation shows that our generic OPC UA skill model can be used as a standardized control interface for device and software components in industrial manufacturing. With our solution new components can easily be exchanged without changing the interface. This is not only true for industrial robots, but for any device which provides a controllable functionality.

Original language	English
Title of host publication	Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1061-1068
Number of pages	8
ISBN (Electronic)	9781728103037
DOIs	https://doi.org/10.1109/ETFA.2019.8869205
State	Published - Sep 2019
Event	24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019 - Zaragoza, Spain Duration: 10 Sep 2019 → 13 Sep 2019

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2019-September
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

Conference

Conference	24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
Country/Territory	Spain
City	Zaragoza
Period	10/09/19 → 13/09/19

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/ETFA.2019.8869205

Cite this

Profanter, S., Breitkreuz, A., Rickert, M., & Knoll, A. (2019). A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools. In Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019 (pp. 1061-1068). Article 8869205 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2019-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2019.8869205

Profanter, Stefan ; Breitkreuz, Ari ; Rickert, Markus et al. / A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools. Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1061-1068 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

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title = "A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools",

abstract = "The current trend to lot-size-one production requires reduced integration effort and easy reuse of available devices inside the production line. These devices have to offer a uniform interface to fulfill these requirements.This paper presents a hardware-agnostic skill model using the semantic modeling capabilities of OPC UA. The model provides a standardized interface to hardware or software functionality while offering an intuitive way of grouping multiple skills to a higher hierarchical abstraction.Our skill model is based on OPC UA Programs and modeled as an open source NodeSet. We hereby focus on the reusability of the skills for many different domains. The model is evaluated by controlling three different industrial robots and their tools through the same skill interface. The evaluation shows that our generic OPC UA skill model can be used as a standardized control interface for device and software components in industrial manufacturing. With our solution new components can easily be exchanged without changing the interface. This is not only true for industrial robots, but for any device which provides a controllable functionality.",

author = "Stefan Profanter and Ari Breitkreuz and Markus Rickert and Alois Knoll",

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Profanter, S, Breitkreuz, A, Rickert, M & Knoll, A 2019, A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools. in Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019., 8869205, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2019-September, Institute of Electrical and Electronics Engineers Inc., pp. 1061-1068, 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019, Zaragoza, Spain, 10/09/19. https://doi.org/10.1109/ETFA.2019.8869205

A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools. / Profanter, Stefan; Breitkreuz, Ari; Rickert, Markus et al.
Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1061-1068 8869205 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2019-September).

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

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Profanter S, Breitkreuz A, Rickert M, Knoll A. A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools. In Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1061-1068. 8869205. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA.2019.8869205

A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools

Abstract

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Conference

UN SDGs

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