Deploying OWL ontologies for semantic mediation of mixed-reality interactions for human–robot collaborative assembly

• DOI: 10.1016/j.jmsy.2023.07.013
• Publication Date: 2023-08-10T18:12:20Z
• Authors: Joe David; Eric Coatanéa; Andrei Lobov
• Keywords: Web Ontology Language

For effective human–robot collaborative assembly, it is paramount to view both robots and humans as autonomous entities in that they can communicate, undertake different roles, not be bound pre-planned routines task sequences. However, with very few exceptions, most of recent research assumes static pre-defined roles during collaboration centralised architectures devoid runtime communication influence responsibility execution. Furthermore, from an information system standpoint, lack the self-organisation needed cope today's manufacturing landscape characterised by product variants. Therefore, this study presents agents for ontology (CAMO), which model based on description logic maintains a self-organising team network between collaborating multi-agent (MAS). CAMO implemented using Web Ontology Language (OWL). It models popular notions net systems represents agent, manufacturing, interaction contexts accommodate generalisability assemblies agent capabilities. As novel element, dynamic consensus-driven parametric validation semantic representations capabilities via presented. instantiated beliefs framework benefits real-time assembly design environment incorporates mixed-reality use operator. The employment web technologies project scalable intentions mixed reality discussed its novelty technology standpoint intention projection mechanism. A case real diesel engine provides appreciable results demonstrates feasibility framework.