FZI Living Lab Industrial Intelligence
The industry of tomorrow
The FZI Living Lab Intelligence is a research laboratory specializing in developing and exploring intelligent systems in an industrial context. The lab provides a platform for interdisciplinary collaboration with partners from research and industry to develop new technologies in automation, production, logistics, and industrial mobility.
The focus of our research is on the following topics:
- Model-based control: precise physical models, optimization methods, and shared-control approaches
- Industrial Internet of Things: machine connectivity and data analysis
- Robotics: Stiffness and trajectory optimization supported by artificial intelligence methods.
- Industrial Artificial Intelligence: Data-driven methods with attention to the protection of sensitive information (for example, Federated Learning).
- Machine Learning Operations: Lifecycle-based consideration of Artificial Intelligence for sustainable integration in the production environment, using established DevOps principles.
- Edge & Fog Computing: Secure, Scalable and Robust Software and Hardware Platforms
- Digital twin: product lifecycle management, visualization in 3D & virtual reality, process simulation and optimization
- Platform-flexible visualization: adaptation of (partially) immersive visualization applications to different processing resources
Our equipment
- Autonomous micromobiles (two different cargo bikes) with extensive high-end environmental sensor technology.
- Processing and playback hardware for development and testing of virtual reality applications
- Self-service Apache Stream Pipes (incubating) toolbox for easy data connectivity, analysis and exploration for the Industrial Internet of Things (IoT).
- Use cases for simplified deployment of edge / edge cloud / fog computing technologies, such as Fogsy.io
- Demonstrators for the evaluation of shared-control and force-feedback applications
- Numerous other technologies that are used in research and development work
Additional Information
FZI wins the challenge KI-Champions Baden-Württemberg with Apache StreamPipes
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