OCRA – An ontology for collaborative robotics and adaptation

نویسندگان

چکیده

Industrial collaborative robots will be used in unstructured scenarios and a large variety of tasks the near future. These shall collaborate with humans, who add uncertainty safety constraints to execution industrial robotic tasks. Hence, trustworthy must able reason about their collaboration’s requirements (e.g., safety), as well adaptation plans due unexpected situations. A common approach reasoning is represent knowledge interest using logic-based formalisms, such ontologies. However, there not an established ontology defining notions collaboration or yet. In this article, we propose Ontology for Collaborative Robotics Adaptation (OCRA), which built around two main notions: collaboration, plan adaptation. OCRA ensures reliable human-robot since can formalize, adaptations collaborations scenarios. Furthermore, our enhances reusability domain’s terminology, allowing different adaptive We validate formal model, first, by demonstrating that robot may answer set competency questions OCRA. Second, studying formalization’s performance limit cases include instances incongruent incomplete axioms. For both validations, example use case consists human collaborating on filling tray.

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ژورنال

عنوان ژورنال: Computers in Industry

سال: 2022

ISSN: ['1872-6194', '0166-3615']

DOI: https://doi.org/10.1016/j.compind.2022.103627