Projects

TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence centres" to form a strong research network of acad

CAMELOT – Continuous Adaptive Machine-Learning of Transfer of Control Situations

A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An imp

EXPECT – Exploring the Potential of Pervasive Embedded Brain Reading in Human Robot Collaborations

The main goal of the EXPECT project is the development of an adaptive, self-learning platform for human-robot collaboration that not only enables various types of active interaction, but is also capab

APRIL – Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes

The APRIL project aims at prototyping low cost and agile market-oriented multipurpose, and easy to repurpose, autonomous dexterous robots; which will manipulate, assemble or process different soft and

SPAICER – Scalable adaptive production systems through AI-based resilience optimization

The innovation competition "Artificial Intelligence as a Driver for Economically Relevant Ecosystems" (AI Innovation Competition) of the Federal Ministry of Economic Affairs and Energy (BMWi) is a fir

InCoRAP – Intentionsbasierte kooperative Roboterhandlungsplanung und Werkerunterstützung in Fabrikumgebungen

The InCoRAP project investigates human-robot interaction in factory environments, taking into account human intention. This allows for a smooth interaction between humans and robots, since the robot c

KICK – Künstliche Intelligenz in Kommunikationsnetzen

Das Ziel von KICK ist es, den Betrieb von künftigen 5G-Campus-Netzen durch den Einsatz von KI-Methoden signifikant zu vereinfachen und zu verbessern. Im Fokus stehen hierbei Industrie 4.0-Umgebungen m

KOSMOX – Entwicklung einer neuartigen lokalen kontrafaktischen Erklärungsmethode und -schnittstelle unter Berücksichtigung kognitiver Modelierungsansätze

Im Bereich der Künstlichen Intelligenz (KI) sind Black-Box-Modelle gegenüber konventionellen Verfahren zwar überlegen, liefern allerdings keine Erklärung über das Zustandekommen ihrer Entscheidungen u

MindBot – Mental Health promotion of cobot Workers in Industry 4.0

MindBot aims at identifying methods and implementing solutions for promoting good mental health in the emerging industry 4.0 within the specific context of manufacturing small and medium-sized enterpr

Fast&Slow – Combination of Symbolic and Subsymbolic Methods

Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement can be made about their correctness. In contrast, t