The Aalborg University (AAU) Smart Lab, located within Aalborg University, is a pioneering "small Industry 4.0 factory", serving as a dynamic hub for showcasing and integrating an extensive array of Industry 4.0 technologies. This forward-thinking facility harmoniously combines Industrial Internet of Things (IIoT) connectivity, cutting-edge Artificial Intelligence (AI), advanced Robotics, immersive simulation, digital twin concepts, cloud/edge computing, and the high-speed connectivity of 5G networks. The lab's modular architecture allows for continual reconfiguration, adapting to diverse research and demonstration needs. It stands as a testament to AAU's commitment to pushing the boundaries of innovation in Industry 4.0, fostering cross-disciplinary collaboration, and shaping the future of industry and technology.
AAU SMART LAB UNIQUE SELLING POINTS:
The Smart Production Lab is a “small factory” which:
Is a Playground for companies, research partners, students to collaborate on a real, physical production setup is used to integrate results from AAU Smart Production
Is a “meeting point” for researcher from AAU Smart Production
Is a platform for teaching in Smart production technologies
Demonstrates how manufacturing companies can benefit from Smart Production technologies
Within the AI REDGIO 5.0 project, the Aalborg University (AAU) Smart Lab plays a pivotal role by actively contributing to two work packages: Work Package 2 (WP2), which is focused on defining the essential needs and requirements for AI-driven Industry 5.0 (I5.0), and Work Package 6 (WP6), dedicated to conducting Application Experiments. To facilitate these efforts, the AAU Smart Lab employs the AAU IoT suitcase in conjunction with machine learning and data analytics methodologies. This strategic combination of resources is leveraged for conducting prototype testing within the controlled environment of the AAU Smart Lab. The resultant insights derived from these experiments are directed towards the optimization of the underlying technology platform. Furthermore, they serve as a valuable resource for shaping the design of future iterations, with the ultimate objective of deploying these advanced solutions in industrial pilot IoT projects specifically tailored for Small and Medium-sized Enterprises (SMEs).