Modern manufacturing technologies demand high efficiency and precision in machining, handling, and measurement processes. The gradual implementation of open-architecture control programs in a new generation of Machine Tools (MT) allows for the compensation of geometric errors identified through volumetric verification, significantly enhancing machine precision. While traditional verification focused on individual axes, the push for high-precision … Read more
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 … Read more
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 … Read more
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 … Read more