Universal Robots ROS Driver
The FZI develops ROS driver for Universal Robots
Start: 02/2021
End: 09/2022
The “PrePrint+ – Quality assurance procedures for preprint contributions in science” research project, funded by the Federal Ministry of Education and Research and conducted by the FZI Research Center for Information Technology, aims to take a closer look at already existing and potentially useful future procedures for quality assurance in open access preprint archives.
The term “preprint” covers freely accessible, scientific manuscripts or artifacts that have usually not (yet) been formally peer-reviewed for publication in scientific journals. Preprints allow researchers to share their scientific results with others in a timely manner, encourage collaborations or receive initial feedback from the scientific community.
The dissemination of scientific work can be potentially harmful if the research quality of a paper does not meet the established standards of science. Preprint users must therefore be able to independently assess the scientific quality of non-peer-reviewed work.
This plays an enormous role, especially in the (media) communication of results to a broader public. In the study, the FZI Research Center for Information Technology plans to look at the status quo of quality assurance procedures of preprint archives, identify trends for the future and develop a guideline for dealing with unreviewed knowledge.
In the Digital Democracy and Participation research focus the spotlight is on inclusive, modern and democratic forms of digital participation as well as the opportunities and challenges of digital democracy.
The FZI develops ROS driver for Universal Robots
German-Israeli Research Initiative on Digital Democracy
AI in the Mobility Sector
Supercomputing Platform for Highly Automated Vehicles
Cybersecurity for SMEs
Data management repository for care-supporting AI applications
Innovation with Cybersecurity for SMEs in Baden-Württemberg
Hardening of embedded RISC-V software by means of code transformations
Automatic Integration of Avionik Racks via Artificial Intelligence
Buildings as efficient and interoperable components of the future energy system