AVARE stands for “Anwendung zur Verteilung und Auswahl rechtskonformer Datenschutzeinstellungen” (application for the distribution and selection of privacy preferences that are in compliance with the law). Organisations and private persons are continuously online, this leads to an increased disclosure of personal data. Citizens have difficulties in protecting their data and it becomes increasingly difficult to comprehend, where and by whom the own personal data is used. In order to strengthen the digital sovereignty of citizens, scientific researchers of the FZI developed, together with computer scientists and solicitors, the prototype Privacy-AVARE at KIT. The principals behind AVARE, such as horizontal and vertical data filters (i.e. concerning address data) and creating blurriness (i.e. concerning position data) show, how DIY data protection could work, so that existing applications (i.e. messenger with large networks) could be continuously used. However, the project also shows the limitations of this approach (i.e. no protection possibility for transferred communication contents).


The GPU-Voxels library allows it to efficiently recognise collisions between geometrical models and 3D sensor data. Collision detection is the basis for two essential problems in robotics: The planning of robot movements as well as the monitoring of the performance of movements within dynamic environments.

Thus, the developed library contains algorithms and data structures that are designed for highly parallel processing via graphics processors: A load balancing octree, voxel maps and voxel lists as well as related algorithms combine these data structures. Furthermore, a shared memory visualisation is included to monitor all data in real time.

Open Source SVH Hand Driver

By order of the company SCHUNK GmbH & Co. KG, an open source ROS driver for the five-fingered hand SVH was developed at the FZI.

Besides the low level driver, the package also included a comfortable high level control interface for the hand. Furthermore, a detailed 3D model for grip planning, initialising routines as well as extensive possibilities for parametrisation of the hardware controllers are included.

The package will be maintained by the FZI and refined with the help of the ROS community.


Open Source AAL Middleware

The universAAL framework is a reference architecture and implementation for AAL middlewares. Numerous methods and tools support the different roles involved in the development, installation, configuration and maintenance of AAL products. The reference implementation of AAL middleware was tested in eight Living Labs in Europe and installed in 7000 households within the framework of the project ReAAL (http://www.cip-reaal.eu/home/).

Share Knowledge: Open Source Code

As a research institution for technology transfer, the FZI shares knowledge by developing open source code within the project requirements. An overview about the publication of Open Source Code that emerged within the framework of FZI projects can be found here.

Please find the license terms in the respective description at GitHub.