Projects

QINROS – QINROS - Quanten computing and quantum machine learning for intelligent and robotic systems

The goal of QINROS, based on the Artificial Intelligence (AI) in Quantum Computing agenda of the Robotics Working Group and DFKI RIC, is to ...

RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is ...

XAINES – Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI ...

SensAI – Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories

Potentials Knowledge Graphs (KGs) get an increased interest in research and industry to represent data, information and knowledge from various sources ...

SEARCH – Surface Exploration Android Remotely Controlled by Humans

The project consists of the development of a functional demonstrator of a miniature exploration rover, which can move quickly and efficiently over ...

IMPRESS – Improving Embeddings with Semantic Knowledge

Virtually all NLP systems nowadays use vector representations of words, a.k.a. word embeddings. Similarly, the processing of language combined with ...

CLIMACTIC – Dynamic planning in Individual Manufacturing along the supply Chain (Preparation Phase)

Phase 1 of 2 (Preparation Phase): The fulfilment of individual customer requirements is becoming an increasingly decisive factor when considering the ...

Moveon – Visuelles robustes räumliches Szenenverständnis in dynamischen Umgebungen unter Verwendung von intermediären Darstellungen

Die visuelle 3D-Erfassung einer Szene in Echtzeit und die gleichzeitige Bestimmung der Position und Orientierung der Kamera (6DoF, Freiheitsgrad) im ...

MePheSTO – Digital Phenotyping 4 Psychiatric Disorders from Social Interaction

MePheSTO is an interdisciplinary research project that aims to develop a scientifically grounded, artificial intelligence based methodology for ...

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 ...