Tours of the FZI House of Living Labs (HoLL)
Tours of our labs
Experience our FZI Living Labs up close and discuss ideas with our experts.
You will gain exciting insights into our research during various presentations and guided tours through our seven FZI Living Labs on Future Mobility, Industrial Intelligence, Security and Law, Service Robotics, smartEnergy, Healthcare Innovation, and Software Innovations.
In the FZI Living Labs, you will meet our experts on all research topics on-site throughout the day.
Tours: 11:00 a.m. | 12:00 a.m. | 2:00 p.m. | 3:00 p.m.
Various guides
Meeting Point / Start
HoLL event area – Infopoint
Our Highlight Demonstrators
In the FZI Living Labs
FZI Living Lab Future Mobility
Here, the mobility concepts of the future are developed
CoCar NextGen is a pioneering research platform for automated and connected driving. The Audi A6 Avant plug-in hybrid, equipped with various high-end sensors, high-performance hardware, and modern networking components, was built independently by the FZI. The modular design enables it to be used for various applications and research areas for new mobility concepts.
Ansprechpersonen: Philip Schoerner, Marc Heinrich
The recording of scenarios involving cyclists plays an important role in traffic research and in the development of behavioral models for cyclists. The bicycle simulator uses the advantages of a simulation to specifically record critical scenarios. Users can ride a stationary bike and see their surroundings through VR glasses or a monitor. The bike can be operated as usual by steering, pedaling and braking.
Contact persons: Philip Schoerner, Helen Gremmelmaier
The Test Area Autonomous Driving Baden-Württemberg (TAF BW) control center displays information from the test area’s intelligent intersections. It monitors networked (automated) vehicles in the TAF BW. The control center is also used to research remote operations and remote assistance.
Contact persons: Philip Schoerner, Albert Schotschneider
FZI Living Lab Healthcare Innovation
Innovative solutions for healthy living and efficient, digital healthcare
The training of firefighters is scarcely digitalized, and drills mainly take place on gaming boards. Practice operations in a real environment are expensive and rare. The project feir of the BMBF (Federal Ministry of Education and Research) is developing augmented reality support the training of firefighters to carry out drills in a low-threshold and realistic virtual environment.
Contact persons: Marc Schroth, Dennis Birkenmaier
Over 8 million people in Germany suffer from chronic skin diseases. Waiting times for university treatment appointments are 6 months on average, making it difficult to avoid relapses. The HybridVITA project is researching a telemedical approach to enable the treatment of dermatology patients using a smartphone app. An essential component is a tactile interface allowing doctors to feel the patient’s skin based on images and 3D models.
Contact persons:Christoph Zimmermann, Lara Schweickart
In the 21st century, the integrity of digital media and information is increasingly threatened by deepfakes — highly realistic, AI-generated synthetic content — that pose risks of disinformation, fraud and opinion manipulation. The MuDDi project is developing a comprehensive approach to detect deepfakes in media types such as videos, images, and audio to protect the integrity of digital media and minimize the risks of disinformation and opinion manipulation.
Contact persons: Christoph Zimmermann, Julia Hofmann, Oliver Werthwein
FZI Living Lab Industrial Intelligence
The industry of tomorrow
The physical coupling of several cooperative industrial robots significantly increases their rigidity, accuracy, versatility, and flexibility. However, a high-end control strategy is required to achieve these benefits. Experience this with the “Cooperative manufacturing” demonstrator!
Contact persons: Sven Nitzsche, Alexandru Vasilache
Making AI More Robust Against Real-World Challenges: Visualizing Adaptive Machine Learning Ensembles
This demonstrator reveals the inner workings of a machine learning ensemble that continuously cycles its members for optimal representation of diverse data concepts. Gain transparency into this innovative approach through engaging visualizations of key data and insights.
Contact persons: Martin Trat, Mine Felder, Janek Bender
FZI Living Lab Security and Law
IT security between law and the Internet of Things
How can people be motivated to answer surveys with unpleasant questions honestly? This demonstrator uses a dice to show how, assuming a sufficiently large number of participants, the percentage of people who regularly drive while drunk or take drugs can be determined – without these people having to admit it publicly.
Contact persons: Matthias Boersig, Marc Nemes
Based on a hotel door scenario, NFC-Cloner demonstrates how easy it is to manipulate outdated versions of NFC card readers using cloned cards. Many companies still use cards with an old NFC standard today – even for access to protected areas. However, these cards pose a major risk: they do not use cryptographic mechanisms such as encryption and are, therefore, easy to copy.
Contact persons: Matthias Boersig, Sergio Marschall
FZI Living Lab Service Robotics
Next-generation robots – at home, in production, in outer space
A great opportunity to control a robot on the moon – almost. The demonstrator shows how the walking robot SPOT and, in particular, its arm can be controlled to pick up building blocks, transport them to a building site, and construct them there. Thanks to a 6D mouse and different levels of autonomy, you can take control yourself.
Contact persons: Georg Heppner, Tristan Schnell
Resilient production must constantly adapt to changing conditions. The GanResilRob project’s demonstrator shows how a program sequence for a recycling application can be generated and executed using a Large Language Model (LLM). The process adapts quickly and efficiently to changing components and the respective conditions.
Contact persons: Georg Heppner, Tristan Schnell
FZI Living Lab smartEnergy
Intelligent solutions for the energy system of tomorrow
The demonstrator shows all the essential components of a smart household that consumes energy as well as produces it via a photovoltaic system (on the HoLL roof) and stores it in a battery. In addition, the demo household has a charging station and a smart metering system. The demonstrator shows how smart energy management systems can be better integrated into the increasingly renewable energy system.
Contact persons: Tobias Riedel, Fabian Kern
Primary control power is a system service for stabilizing the power grid. The demonstrator shows how primary control power is provided from a battery storage system that can be expanded as required by continuously adapting the charging and discharging power to the demand in the power grid.
Contact persons: Tobias Riedel, Fabian Kern
FZI Living Lab Software Innovations
Innovations via and for software engineering
With the help of quantitative, multi- or hyperspectral imaging under structured irradiation, an AI-based diagnostic system for early skin cancer detection was developed in the “Intelligent Diagnostics” project. Among other things, the demonstrator shows the measurement system structure and user interfaces of the underlying distributed management system.
Contact persons: Max Scheerer, Marius Take
The demonstrator developed as part of the KARL project enables a semi-automated extension of process-based software systems to include the use of AI. With just a few steps, previously manual processes can be converted into processes that can be automatically executed using AI.
Contact persons: Max Scheerer, Marius Take
GOFFI is a fine dust dosimeter app that determines pedestrians’ and cyclists’ individual fine dust exposure. The precise fine dust tracking provides valuable insights for optimizing the cycling infrastructure. With synthetic mobility data from ANYMOS, bicycle movements, and fine dust absorption are simulated to show the analysis capability using the example of a medium-sized city.
Contact persons: Christoph Becker, Thomas Mayer, Lukas Kneis
At the HoLL event area
The “Catch Me If You Can!” demonstrator allows visitors to explore the weaknesses of vision-based AI. By using equipment such as an LED wall as a background, they can interactively try to avoid being recognized as a person.
Contact persons: Stefan Schwab, Hubert Padusinski
What happens when attackers gain access to the hardware? A wide range of measures are used to protect intellectual property on hardware products. The Electromagnetic Fault Injection (EMFI) Glitching Demonstrator illustrates how this chain of protective measures can bypass embedded hardware security.Contact persons: Matthias Boersig, Maximilian Staab
The demonstrator has two objectives: firstly, to explain language model technology in a comprehensible way and, secondly, to raise awareness as to how easy it is to manipulate information. Recent news articles are selected and automatically processed using language models to demonstrate aspects of manipulation. Examples of the demonstration include changes in the style of the article or in political views.
Contact person: Steffen Thoma
At the HoLL outdoor area
The demonstrator shows the bidirectional charging of electric vehicles. Scenarios can be selected via the display, if required, and also with the simulation of the vehicle. The (un)charging process of the vehicle is optimized in relation to current dynamic tariffs, and the timetable is shown on the display. The range also includes capping load peaks by feeding energy back from the vehicle.
Contact persons: Tobias Riedel, Mischa Ahrens, Fabian Kern
A heterogeneous team of mobile robots is controlled from a mobile control center to explore the environment in front of the FZI House of Living Labs. The robots can be controlled with different degrees of autonomy, from an autonomous exploration mission to the delicate teleoperation of grasping operations.
Contact persons: Georg Heppner, Tristan Schnell
The ThinKIsense project demonstrates how neuromorphic hardware and AI-based data processing directly in the sensor improve energy efficiency and set new standards in battery life. Beyond that, we are showing other exciting possibilities for using neuromorphic technologies.
Contact persons: Sven Nitzsche, Alexandru Vasilache