Projects

VE-HEP – Hardening the Supply Chain through Open Source, Trustworthy EDA Tools and Processors

The project "Hardening the Supply Chain through Open Source, Trusted EDA Tools and Processors (HEP)" focuses on RISC-V processors. RISC-V is a new, …

DOF-Adaptiv – Adaptive Mapping of Degrees of Freedom as User Interface for an Assistive Robot

An assistive robot arm is a valuable support for people with severely reduced mobility of arm and hand, but exhausting and time-consuming to use, …

VeryHuman – Learning and Verifying Complex Behaviour of Humanoid Robots

The validation of systems based on deep learning for use in safety-critical applications proves to be inherently difficult, since their subsymbolic …

KI-SIGS – AI-Space for Intelligent Health Systems

In the project KI-SIGS (AI-Space for Intelligent Health Systems), companies, universities and research institutions from Northern Germany are pooling …

AUTOASSERT – Simulation-based Design Tool for Automated Checking of Analog-digital Electronic Systems

Microelectronic hardware and software systems are the key component for the majority of innovations in current and future systems. The verification, …

AdaMeKoR – AdaMeKoR project part: Robotic arm assistance system and integrated robotic concepts for patient transfer

The overall objective of AdaMeKoR is the development of an adaptive and multifunctional motorized bed with robotic arm system for use in nursing. For …

KosmoS – Cooperative, modular, mobile Smart Life Lab

The aim of the project is to support researchers in the design, evaluation and subsequent mediation of networked objects. For this purpose, a flexible …

ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ …

PQC4Med – Securing Health Care Data in the Post-Quantum Age

In PQC4MED solutions for cryptoagility in the field of embedded systems in medical technology are developed. The focus is on solutions that can …

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 …