Automated Interface Pairing Between Interdisciplinary Components of Robot-like Systems through Ontology Using OWL-SWRL

The precise integration of drivetrain components in SCARA robots, including sensors, controllers, motor drivers, motors, and gears, is crucial for en-suring system functionality. Selecting appropriate components requires interdis-ciplinary interface compatibility, traditionally managed through manual selection and expert knowledge. However, this process is often inefficient and error-prone, particularly when integrating components from different vendors. To support hu-man engineers, this paper presents an ontology-based approach leveraging OWL and the Semantic Web Rule Language (SWRL). The method automates the iden-tification and pairing of compatible component interfaces across mechanical, electrical, and software domains by defining SWRL rules. These rules allow an ontology reasoner to infer and derive matching properties, ensuring logical con-sistency and accuracy. The proposed method not only simplifies the seamless pairing of components but also supports dynamic updates, enabling the integra-tion of newly added components with minimal manual intervention. The evalua-tion involves creating 270 artificial component instances with diverse interface properties, validating the SWRL rules, and retrieving compatible component sets via SPARQL queries. This automated workflow significantly enhances the effi-ciency, accuracy, and flexibility of configuring robot drivetrain systems. The re-sults demonstrate marked improvements in system design, scalability, and the ability to reuse pairing knowledge for future applications.     «

The precise integration of drivetrain components in SCARA robots, including sensors, controllers, motor drivers, motors, and gears, is crucial for en-suring system functionality. Selecting appropriate components requires interdis-ciplinary interface compatibility, traditionally managed through manual selection and expert knowledge. However, this process is often inefficient and error-prone, particularly when integrating components from different vendors. To support hu-man engineers, this paper p...     »