TY - GEN
T1 - A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools
AU - Profanter, Stefan
AU - Breitkreuz, Ari
AU - Rickert, Markus
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85074210127&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2019.8869205
DO - 10.1109/ETFA.2019.8869205
M3 - Conference contribution
AN - SCOPUS:85074210127
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
SP - 1061
EP - 1068
BT - Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
Y2 - 10 September 2019 through 13 September 2019
ER -