The aim of the project is to design and develop a semi-autonomous, mobile system that is capable of harvesting fruit independent of human interaction. While robotic systems are currently used mainly i
The vision of NFDI4DataScience (NFDI4DS) is to support all steps of the complex and interdisciplinary research data lifecycle, including collecting and creating, processing, analysing, publishing, arc
The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several different use-cases have been proposed to be selected fo
Für das Monitoringprojekt "Anwendungspotenziale und Herausforderungen von künstlicher Intelligenz in der Bildung" am Büro für Technikfolgen-Abschätzung beim Deutschen Bundestag (TAB) erstellt das Educ
The AILHA – AI enhanced Litter Harvester project aims to clean litter from the world's waters and returning the raw materials to the circular economy, e.g. through on-site recycling processes. For thi
Im Projekt smartMILC wird das Konzept eines „digitalen Stalls“ zur Unterstützung von landwirtschaftlichen Prozessen und Services mit besonderem Anwendungsfokus auf dem Nutztier Rind erforscht. Durch d
Augmented visual intelligence and Targeted online research (AviaTor) Phase 2 builds upon the first AviaTor project. AviaTor provides law enforcement with a tool for faster prioritization of the most u
The spontaneous vegetation that accompanies arable farming (generally referred to as (un)harmful weeds) can lead to major yield losses if not controlled. However, of the approximately 350 plant specie
The aim of the project is to design and develop a partially automated, mobile assistance robot to support material transport through impassable terrain. The main areas of application are rescue operat