Capability Matchmaking Procedure to Support Rapid Configuration and Re-configuration of Production Systems

Järvenpää, Eeva; Siltala, Niko; Hylli, Otto; Lanz, Minna

doi:10.1016/j.promfg.2017.07.216

Cited by 29 publications

(5 citation statements)

References 7 publications

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“…This matchmaking and search is allowed by the OWL-based capability model [ 38 ], which is used to describe the resource capabilities in a formal, computer- and human-interpretable manner. The capability matchmaking approach is presented in [ 39 ]. Once the system has been re-configured (or found suitable as such), the actual operations need to be programmed and executed.…”

Section: Resultsmentioning

confidence: 99%

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Herrero

Outón

Puerto

et al. 2017

Sensors

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This paper presents a state machine-based architecture, which enhances the flexibility and reusability of industrial robots, more concretely dual-arm multisensor robots. The proposed architecture, in addition to allowing absolute control of the execution, eases the programming of new applications by increasing the reusability of the developed modules. Through an easy-to-use graphical user interface, operators are able to create, modify, reuse and maintain industrial processes, increasing the flexibility of the cell. Moreover, the proposed approach is applied in a real use case in order to demonstrate its capabilities and feasibility in industrial environments. A comparative analysis is presented for evaluating the presented approach versus traditional robot programming techniques.

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Section: Resultsmentioning

confidence: 99%

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Herrero

Outón

Puerto

et al. 2017

Sensors

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“…The Resource Interface ontology shall provide a response to the following use cases: Find resources that can be connected with particular interface of a resource; Find resource combinations with connectable interfaces; and Ensure that suggested resource combinations found by an external system (e.g. capability matchmaking [12] or system designer propositions) are physically connectable. The work builds upon our existing work on formalised interface description as a part of XML-based Resource Description concept [14,15].…”

Section: The Objective Of This Paper Is To Present Recent Development...mentioning

confidence: 99%

“…In our previous research, we have studied capability matchmaking and creation of new resource combinations, which have combined capabilities to satisfy the processing requirements of the specific product [12]. The Web Ontology Language (OWL)-based Capability Model allows such combinations to be created from the capability perspective [13].…”

Section: Introductionmentioning

confidence: 99%

Creating Resource Combinations Based on Formally Described Hardware Interfaces

Siltala

Järvenpää

Lanz

2018

Precision Assembly in the Digital Age

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This paper introduces the Resource Interface ontology intended to formally capture hardware interface information of production resources. It also proposes an interface matchmaking method, which uses this information to judge if two resources can be physically connected with each other. The matchmaking method works on two levels of detail, coarse and fine. The proposed Resource Interface ontology and matchmaking method can be utilised during production system design or reconfiguration by system integrators or end users. They will benefit from fast and automatic resource searches over large resource catalogues. In the end of the paper, a validation of the method is provided with a test ontology.

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“…This matchmaking and search is allowed by OWL-based capability model [38], which is used to describe the resource capabilities in a formal, computer-and human-interpretable, manner. The capability matchmaking approach is presented in [39]. Once the system has been re-configured (or found suitable as such), the actual operations need to be programmed and executed.…”

Section: Validation In Real Use Casementioning

confidence: 99%

Enhanced Flexibility and Reusability Through State Machine Based Architectures for Multisensor Intelligent Robotics

Herrero¹,

Outón²,

Puerto³

et al. 2017

Preprint

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This paper presents a state machine based architecture which enhances flexibility and reusability of industrial robots, more concretely dual-arm multisensor robots. The proposed architecture, in addition to allowing absolute control of the execution, eases the programming of new applications by increasing the reusability of the developed modules. Through an easy-to-use graphical user interface, operators are able to create, modify, reuse and maintain industrial processes increasing the flexibility of the cell. Moreover, the proposed approach is applied in a real use case in order to demonstrate its capabilities and feasibility in industrial environments. A comparative analysis is presented for evaluating presented approach versus traditional robot programming techniques.

show abstract

Capability Matchmaking Procedure to Support Rapid Configuration and Re-configuration of Production Systems

Cited by 29 publications

References 7 publications

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Creating Resource Combinations Based on Formally Described Hardware Interfaces

Enhanced Flexibility and Reusability Through State Machine Based Architectures for Multisensor Intelligent Robotics

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