Projects

FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend …

No-IDLE – Interactive Deep Learning Enterprise

In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision …

MASTER – MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) …

GAIA-X 4 ROMS – GAIA-X 4 ROMS - Support und Remote-Operation automatisierter und vernetzter Mobility Services

Neue Mobilitätslösungen sollen den Transport von Personen und Gütern auch unter Klimaschutz-Aspekten sichern. Ansätze liegen hier neben der …

M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. …

PAIRS – Privacy-Aware, intelligent and Resilient Crisis Management

In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective …

AiToC – Artificial Intelligence supported Tool Chain in Manufacturing Engineering

In the application areas of production planning and engineering, the lack of interoperability between tools, methods and formats is still a common …

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 …

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 …

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 …