Universal Robots ROS Driver
The FZI develops ROS driver for Universal Robots
Start: 06/2021
End: 11/2023
For autonomous vehicles to be introduced and tested, functions, systems and services must interact reliably. During vehicle development, measures are taken at an early stage through regular testing to prevent as many security risks as possible. Particularly with the use of technologies such as artificial intelligence or connected driving, vulnerabilities and security gaps that are difficult to foresee can only be uncovered during operation.
The aim of the UNCOVER project is to develop methods and tools that record such incidents in autonomous driving functions in a systematic and structured manner. In doing so, findings from incidents in driving operations will be transferred back to model-based development. Subsequently, concepts for a re-design can be developed that consider the identified vulnerabilities and their impact on the vehicle architecture. A flexible monitoring platform is being developed to provide a tool for identification and detection that considers both cybersecurity standards and data protection aspects
UNCOVER’s approach aims to demonstrate that security risk detection and recovery response can be shortened using continuous monitoring. This is possible in particular thanks to data-based evaluation and the feedback of the results into vehicle development.
The project results are highly relevant for the German automotive industry, but can also be transferred to other safety-critical areas such as Industry 4.0, critical infrastructures or medical technology.
In this research focus, the FZI investigates and conveys innovative concepts, methods for protecting IT systems, and legal framework conditions to enable secure digitalization.
Funding notice:
The UNCOVER project is funded by the Federal Ministry of Education and Research (BMBF).
Project partners:
The FZI develops ROS driver for Universal Robots
German-Israeli Research Initiative on Digital Democracy
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