The aim of this project is to integrate Augmented Reality (AR) technologies into training processes related to the operation and maintenance of CNC machinery, enabling a significant improvement in learning quality while strengthening the connection with real industrial environments.
“Filtering Solutions for Electronic Applications in Industrial Automation and Machinery Control” with the acronym “SOFIL.”
File Number: ZL-2025/00445
“Embedded Intelligent Assistant for CNC Diagnostics and Maintenance Using Quantum-Inspired Generative AI” with the acronym “QASISTAI.”
File Number: 2025-QUAN-000005-01
“No-Code, Modular, and Adaptable Interface Customization” with the acronym “PRISMA.”
File Number: ZL-2025/00470
“Advanced Miniaturization and Optoelectronic Technologies for Next-Generation Sensing Systems Tailored to the Needs of Smart Industry” with the acronym “MINICAP.”
File Number: ZL-2025/00315
“Advanced Miniaturization and Optoelectronic Technologies for Next-Generation Sensing Systems Tailored to the Needs of Smart Industry” with the acronym “MINICAP.”
File Number: ZL-2025/00315
“Research on multi-Agent AI technologies to retrieve, contextualize, and facilitate human access to expert knowledge in the industrial digital thread” with the acronym “HUMAN4IN.”
File Number: ZE-2025/00030
“Cognitive AI for Programming High-Efficiency and Reliability” with the acronym “CIPHER.”
File Number: ZL-2025/00679
“Cyber Shielding of Industrial Systems: Revolution in the Design Paradigm and Continuous Transformation” with the acronym “ABEDI.”
File Number: ZE-2025/00011
“Process Metaverse through the Research of Technologies for Part and Machining Virtualization,” with the acronym “PROVERSE.”
File Number: ZL-2024/00779
“Magnetic Field Disturbances in Near Field” with the acronym “PEMACER.”
File Number: ZL-2024/00611
