In SENSORBEES we will leverage honeybee colonies as sensor networks to monitor crucial ecological metrics, regional pollination service and flowering plant diversity, by equipping hives with advanced technology tracking bee activity, interactions, colony health, and resource dynamics, enabling large-scale environmental assessment and detection of ecosystem stressors.
By combining technologies from robotics, machine learning, and biology, we will create a minimally invasive way to affect entire ecosystems just by influencing a single individual: the system will regulate the brood production of honey bees, ultimately influencing plant growth in the environment surrounding the hive.
Our ambition in the HIVEOPOLIS project is to create a modern society of honey bee colonies which is fully adapted to present-day challenges, such as pesticides, parasites, climate change, or urban environments.
The goal of this project was to integrate current research findings into the education system. For this purpose, a device was built that allows many different natural science experiments at schools.
We discovered a simple motion law for moving and interacting self-propelled particles leading to a self-structuring, self-reproducing, and self-sustaining life-like system.
The main goal of the completed ASSISIbf project was to establish a robotic society capable of autonomously establishing communication channels with animal societies (honeybees and schools of fish).