“Autonomous Systems” are one of the main applications of intelligent robotics. The application of machine learning for autonomous systems is one of the most active research fields in the world. The nature of the local industry means that this field is of particularly significant strategic importance for the Stuttgart region. Within the HE-Personal project, the “Autonomous Systems” research area is dedicated to research questions relating to artificial intelligence. The emphasis is on developing a methodology to reduce the resource consumption over the complete development process of AI systems and make their use more sustainable (“Green AI”), because training one single artificial neuronal network can currently incur costs amounting to millions.
The research topics in this area encompass various sub-fields, such as the automation of the architecture of AI systems to enhance efficiency; the learning capability of AI systems, especially from smaller quantities of data, to reduce the effort required for the (manual) data collection (self-supervised learning, weak supervised learning, few-shot learning, low-resource NLP); and the acquisition of a deeper understanding of AI systems to enable more targeted optimisation of the AI architecture (explainable AI).