In this area, we explore the possibilities of applying service-oriented architectures in industrial real-time systems. This includes the construction and improvement of a demonstrator platform, e.g. a robot arm that is to carry out certain activities.
In addition, the adaptation possibilities of service-oriented architectures are to be researched with regard to their fail-safety. If a certain service fails, another one should automatically take over. The possibilities of using artificial intelligence can also be considered and evaluated. Interested students therefore have a lot of freedom with regard to the specific topic.
Research Area:
- Industrial Informatics
- Smart Systems
Thesis Type
- IT-Project / Project / Seminar
- BSc Thesis
- Master Thesis
- PhD
Goals and Tasks
- Build a demonstrator for industrial IoT (IIoT) systems with a miniature robot arm.
- Explore the integration feasibilities of AI in safety-critical real-time applications for attack mitigation.
- Build a real-time demonstrator of an IIoT system with runtime adaptation.
- Analyze and compare industrial service-based approaches for the feasibility of application in a dependable industrial system context.
Required Prior Knowledge
- Most important: Interest for the topic!
- Required: The willingness to get involved in a difficult topic and to spend a lot of time on it (perseverance and tenacity!)
- Required: Knowledge of programming languages and frameworks, e.g., C/C++, Python, maybe Tensorflow
- Beneficial: Experience with real-time environments, industrial environments, safety and security, AI
Start:
A.S.A.P
Duration:
6-12 months
Contact