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Phenorob - Robotics and Phenotyping for Sustainable Crop Production
PhenoRob performs world-leading research in robotics and phenotyping for sustainable crop production. Our vision is to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. PhenoRob addresses a real-world problem with a technology-oriented approach. Our scientists have backgrounds in computer science, geodesy, robotics, plant science, soil science, economics, and environmental science. This interdisciplinary team forms the only DFG-funded Cluster of Excellence focusing on agriculture.
AID4Crops - Automation and AI for Monitoring and Decision Making of Horticultural Crops
AID4Crops will bring together research about what can be sensed with what should be sensed. To do this, we will develop novel AI algorithms to enable autonomous monitoring (sensing) and management (forecasting and decision making) for horticultural crops. These approaches will be deployed in horticulture as it provides a set of realistic yet challenging environments with crops grown both indoors (in glasshouses) and outdoor (in orchards); the indoor environment provides greater control over the growth of the crops.
RePAIR - Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage
The 'RePAIR' project combines Artificial Intelligence and Robotics with Cultural Heritage to create technology that simplifies the reconstruction of shattered artworks. This innovation aims to address the challenge of piecing together damaged or incomplete ancient artifacts like vases, amphorae, and frescoes, often found in fragments at excavation sites worldwide.
BNTrAinee - Bonn Transdisciplinary Training in Artificial Intelligence Behavior
The existing AI expertise in computer science is structurally networked with various specialist disciplines as users of AI as part of the project, so that demand-oriented teaching/learning opportunities are developed together. The teaching/learning opportunities are provided via a learning platform.
PRIVATAR - Privacy-friendly Mobile Avatars for Sick School Children
In order to promote the integration of acutely and chronically ill school children, the use of mobile robots as avatars at school offers a promising approach. Nevertheless, the robots, through their interactions and sensors, can endanger the different privacy dimensions of different people. PRIVATAR therefore aims to provide user-friendly solutions that allow users to better protect their privacy according to their own preferences through novel interactions. This gives them more control over their privacy, which goes far beyond the currently used consent forms.
Embodied AI at LAMARR Institute for Machine Learning and Artificial Intelligence
The Lamarr Institute, emerging from the ML2R project after expert evaluation, is dedicated to advancing high-performance, reliable, and efficient Machine Learning and AI. Aiming to make Germany and Europe leaders in AI research, education, and technology transfer, it now enjoys permanent funding from the Federal Ministry of Education and Research and the state of North Rhine-Westphalia.
Robotics Institute Germany
The Robotics Institute Germany is an initiative by the Federal Ministry of Education and Research (BMBF) aimed at connecting leading robotics labs across Germany to enhance their international visibility, attract talent, and accelerate progress in AI-powered robotics.