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 …

Robdekon2 – Robdekon Kompetenzzentrum Phase 2

Roboter und Menschen sollen gemeinsam in Rückbau- oder Dekontaminationsvorgängen industrieller Anlagen eingesetzt werden Partners Fraunhofer IOSB, …

CALAHARI – CALamity Adaptes HARvesting Innovation

CALAHARI is a vision for a robot-assisted, semi-autonomous timber harvesting process. The synthesis of the requirements analysis for successful …

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

SOILAssist3 – Assistance system and field route planning in harvesting operations

Automation and optimization are becoming increasingly important in agricultural processes. In addition to improvements in efficiency, soil protection …

AI4EO Solution Factory – Artificial Intelligence for Earth Observation Solution Factory

Within the AI4EO Solution Factory we combine our AI expertise with EO data to develop customized state-of-the-art solutions for business cases as …

PlantMap – PlantMap

The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants – the PlantMap. Such a map will be filled …

IQexpert – Use of innovative data analysis and artificial intelligence for udder health management, incorporating the latest research approaches in bulk milk analysis and image-based animal identification

The IQexpert project aims to develop an artificial intelligence-based expert system for strategic udder health management (XTE) in dairy cows. The …

PigNPlay – Development of a Serious Game to reduce nitrate emissions in pig farming

The goal of the PigNPlay project is to provide farmers in training, practice and other target groups with an instrument to raise their awareness and …

AI-Test-Field – Experimental environment for industrial-grade development of semantic environment perception.

The fusion of data with high spatial and temporal resolution and their interpretation are essential innovation drivers for the realisation of more …