首页|Research from Universita degli Studi della Campania Luigi Vanvitelli in Robotics Provides New Insights (An Integrated Architecture for Robotic Assembly and Inspection of a Composite Fuselage Panel with an Industry 5.0 Perspective)
Research from Universita degli Studi della Campania Luigi Vanvitelli in Robotics Provides New Insights (An Integrated Architecture for Robotic Assembly and Inspection of a Composite Fuselage Panel with an Industry 5.0 Perspective)
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Research findings on robotics are discussed in a new report. According to news reporting out of Aversa, Italy, by NewsRx editors, research stated, “Aeronautical robotic applications use quite large, heavy robots with huge end effectors that are frequently multifunctional.” Financial supporters for this research include European Commission. The news journalists obtained a quote from the research from Universita degli Studi della Campania Luigi Vanvitelli: “An assembly jig to hold a fuselage panel and two medium-sized six-axis robots fixed on linear axes, referred to as the internal and the external robot with respect to the curvature of the panel, make up the Lean robotized AssemBly and cOntrol of composite aeRostructures (LABOR) work cell. A distributed software architecture is proposed in which individual modules are developed to execute specific subprocesses, each implementing innovative algorithms that solve the main drawbacks of stateof- the-art solutions. Real-time referencing adopts a point-cloud-based strategy to reconstruct and process the part before drilling, avoiding hole positioning errors. Accurate concentric countersink diameters are made possible through the automatic adjustment of the drilling tool with respect to the skin panel, which guarantees its orthogonality, as well as the implementation of process parameter optimization algorithms based on historical results that compensate for the wear of the drilling bits. Automatic sealing and fastening strategies that involve the measurement of the main fastener quality parameters allow for the complete verification of the entire assembly process of each part.”
Universita degli Studi della Campania Luigi VanvitelliAversaItalyEuropeEmerging TechnologiesMachine LearningNano-robotRoboticsRobots
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