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 …

ExPrIS – Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

"What will I see when I turn this corner?" Depending on what is around that corner, this question is easy for us to answer. We are likely to see a …

agrifoodTEF – Test and Experiment Facilities for the Agri-Food Domain

To foster sustainable and efficient agri-food production, agrifoodTEF gives companies and start-ups the validation tools they need to bridge the gap …

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 …

resKIL – Resource-efficient AI for Embedded Systems in Agricultural Machines

The application of AI methods appears to be useful in agriculture because the environment is highly dynamic, not fully known and not fully …

SmartRecycling – SmartRecycling - AI and Robotics for a sustainable circular economy

Partners Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI) Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH …

DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, …

TreeSatAI – Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in …

SimLearn – Completing Training Data by Iteratively Learning Simulation

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in …