The primary objective of this project is to advance the state-of-the-art in analyzing error sources affecting Computed Tomography (CT) measurements of lattice structures produced via Additive Manufacturing (AM), and how these errors impact the calculation of their mechanical properties. To this end, specialized algorithms will be developed for surface extraction of nodes and struts within … Leer más
Kinematic modeling and error compensation are critical for ensuring precision in industrial robots and Articulated Arm Coordinate Measuring Machines (AACMMs). This project investigates the integration of Artificial Intelligence (AI) and Neural Networks directly into the kinematic models of these systems. The core hypothesis is that AI can replace traditional models with more efficient, flexible architectures … Leer más
REDOL is a European project involving 37 partner entities. The project focuses on researching the logistics and processes within waste collection value chains in the city of Zaragoza. To date, the research has characterized the value chains of various waste streams by analyzing their stages, technologies, and data collection methods at each stakeholder’s entry and … Leer más
In the context of Industry 4.0, this project addresses the growing demand for in-line quality control and automated repair in high-stakes manufacturing. While complex inspection tasks often require manual intervention due to detection difficulties, traditional industrial robots are frequently limited by rigid safety requirements. To overcome this, the research focuses on Collaborative Robots (Cobots), which … Leer más
This project focuses on enhancing the precision of production systems by analyzing and compensating for quasi-static and dynamic errors. While traditional geometric verification is often time-consuming, this research advances Volumetric Verification as an indirect measurement technique. By integrating laser interferometry—specifically through Laser Trackers (LT) and Laser Tracers (LC)—the project develops mathematical corrections for combined geometric … Leer más
The project aims to research industrial technologies for the improvement of inspection and quality control processes within large-scale manufacturing plants. The validation phase is specifically focused on the Stellantis automotive factory (Opel, Citroën, Peugeot, etc.) located in Zaragoza.
The FAUSTO Project aims to lead the transition toward a competitive, secure, and sustainable autonomous factory by integrating advanced Artificial Intelligence and Deep Learning at the industrial edge. By leveraging Edge Computing architectures, the project enables real-time data processing and decision-making directly at the point of operation, reducing latency and enhancing operational autonomy in complex … Leer más
