Projects

Partners Humboldt-Universität zu Berlin (Konsortialführer) Educational Technology Lab, DFKI Universtität Bozen, Italien Universität Minho, Portugal Pädagogische Hochschule Tirol, Österreich Universitä

Global competition in fruit production and the local shortage of harvest workers require innovative autonomous robotic systems that work together with humans. For some crops, a largely automated harve

Currently, we are seeing an explosion in AI, primarily led by the advances in reinforcement learning (RL) methods as well as transformer-based neural networks. For example, large language models (LLMs

The current design and use of cities is not adapted to the consequences of climate change. It is scientifically known which scenarios are to be expected and how cities need to be changed in order to r

The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In particu

The MELLOW research project aims to improve two key aspects of the shoe manufacturing process: Firstly, the development and introduction of an AI-based assistance system will make it easier for worker

The concept being developed relates to researching the intersection of AI, Eye Tracking, and Literacy Development/ Reading Skill Development. AI systems offer potential benefits for supporting teacher

Against the background of the high demand for information and advice on the topic of ‘AI use in schools’ among all school stakeholders, the project team will produce the ‘AI Trend Monitor in Education

Within the MikroBeM project we investigate the impact of real micro- and hypergravity on fine motor and cognitive learning states, workload conditions, and movement kinematics, analyzing biological si

Co-adaptation to enable and improve exoskeleton-based (tele-) rehabilitation