Projects

"Robot, bring me a cup!" This seemingly simple instruction often poses significant problems for robots. A robot can use semantic maps to query the positions of objects, but those objects may not even

The LALWeco project aims to combine an autonomous robot with a modular laser unit for weed control. This robot autonomously navigates through the crop rows, identifies existing crops and weeds during

"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 refrigerator in a kitchen, ships at a port, and a str

To foster sustainable and efficient agri-food production, agrifoodTEF gives companies and start-ups the validation tools they need to bridge the gap between prototypes and successful market products.

Automation and optimization are becoming increasingly important in agricultural processes. In addition to improvements in efficiency, soil protection is gaining attention. The project SOILAssist-3 add

"Entferne schädliches Unkraut auf dem Feld, aber setze keine chemischen Mittel in der Nähe eines Gewässers ein!" Bei der Durchführung landwirtschaftlicher Arbeiten müssen solche Regeln beachtet werden

In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and ve

The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants – the PlantMap. Such a map will be filled with plant data taken by autonomous robots navigating

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 ChargePal project aims at the research and practical testing of self-sufficient mobile DC charging robots with integrated high-performance batteries as well as their intelligent network integratio