Projects

SPELL – Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren

Artificial intelligence in the interconnected control center of the future The SPELL project represents the idea of a semantic platform for …

Saimidris – Sailing Intelligent Micro Drifter Swarms

Partners Carl von Ossietzky Universität Oldenburg

NorthSat-X – The North Sea from space: Using explainable artificial intelligence to improve satellite observations of climate change

Partners Carl von Ossietzky Universität Oldenburg

MILKI-PSY – Multimodal immersive learning with artificial intelligence for psychomotor skills

Development of psychomotor skills (e.g. in medicine, sports) requires practical exercise, direct feedback and reflection. In order to achieve the …

SensoBike – Modell zur Erkennung von Fehlstellungen des Knies

Niederschwellig in den Alltag integriertes Trainings- und Mobilitätssystem zur orthopädischen Prävention am Beispiel von Kniearthrosen. Basis ist ein …

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, …

NaLamKI – Nachhaltige Landwirtschaft mittels KI

In the overall project Sustainable Agriculture with KI (NaLamKI), a cloud-based SaaS (Software as a Service) platform is being created with open …

Agri-Gaia – ein agrarwirtschaftliches KI-Ökosystem

The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform …

INSYS – INTerpretable monitoring SYStems

The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic …

DeeperSense – Deep-Learning for Multimodal Sensor Fusion

The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their …