Research at the Institute of Computer Science

The ‘Anticipating Human Behaviour’ project is developing technologies for anticipating human behavior in order to improve the interaction between humans and robots. It focuses on service robots that support elderly or impaired people. These robots must be able to anticipate human intentions and movements in order to provide effective assistance and avoid accidents. By considering different time frames and levels of detail, the acceptance, and efficiency of the robots should be increased.

This project is funded by the German Research Foundation (DFG).

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PhenoRob is one of six Clusters of Excellence at the University of Bonn and is dedicated to the development of technological solutions for sustainable challenges in agriculture. It brings together experts from Computer Science, Robotics, agricultural sciences and other disciplines to optimize plant production through innovative technologies. PhenoRob aims to promote the use of robots and AI to increase efficiency and sustainability in agriculture and produce market-ready products.

Funded by the German Research Foundation (DFG).

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The project ZERTIFZIERTE KI (engl. Certified AI) aims to develop practical quality standards for artificial intelligence (AI) in order to implement the new requirements of the EU AI Act. An interdisciplinary team from science and industry defines specific criteria for AI tests and carries out pilot projects. The aim is to make AI systems safe and trustworthy by developing concrete quality assurance measures that do justice to the different application contexts.

The project is funded by the federal state of North Rhine-Westphalia as part of the AI networking initiative KI.NRW.

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The project RePAIR (Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage) aims to revolutionize the physical reconstruction of damaged works of art. It is developing an intelligent robotic system that can autonomously reassemble large, broken artifacts such as frescoes and vases quickly and accurately. This system will be tested on important examples from Pompeii to restore lost cultural heritage and increase efficiency in archaeological research.

This project is funded by the EU.

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The BNTrAinee project links existing AI expertise in Computer Science with various specialist disciplines in order to develop needs-based teaching and learning programs. These are provided via a learning platform and promote the exchange between computer scientists and scientists from other disciplines. The aim is to impart expert-level AI skills that go beyond basic knowledge. A project exchange brings students and teachers together to develop practical AI solutions.

Funded by the German Federal Ministry of Education and Research.

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WestAI gives players from business and science access to AI models and high-performance AI computing infrastructures. The project supports start-ups and small and medium-sized enterprises in utilizing state-of-the-art AI technologies to put innovative ideas into practice and open up new fields of application.

The AI services range from detailed advice on individual AI challenges and their realization to the opportunity to attend one of our numerous AI training courses.

Funded by the German Federal Ministry of Education and Research.

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The iBehave Network aims to deepen our understanding of behavior and its neuronal basis. This involves analyzing how different living beings adapt their movements based on sensory inputs and internal states. One focus is on analyzing neurological and psychiatric diseases such as Parkinson's and depression in order to develop new diagnostic and therapeutic methods. Through an interdisciplinary approach with nine projects, the network promotes collaboration between scientists and clinicians to find new solutions for behavioral disorders.

Funded by the Ministry of Culture and Science of the federal state of North Rhine-Westphalia.

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The project Algorithmic data analysis for geodesy (AlgoForGe) investigates algorithmic challenges in artificial intelligence (AI) with a focus on geodesy, in particular cartography and physical geodesy. The aim is to transfer geometric data into discrete configurations in order to apply optimization techniques. Through the collaboration of experts, a solid basis for automation in geodesy is to be created, which is also important for other areas with geometric data.

This project is funded by the German Research Foundation (DFG).

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The InVirtuo 4.0 project combines computer science, media science, cognitive neuroscience and clinical psychology to achieve significant advances in research through in-virtuo experiments. It addresses media, social and ethical issues and utilizes the hardware of the Visual Computing Incubator at the University of Bonn to create digital twins. The project promotes interdisciplinary collaboration and demonstrates the transformative potential of in-virtuo research.

Funded by the Ministry of Culture and Science of the federal state of North Rhine-Westphalia.

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The UMDenken project is developing a drone-based extinguishing support system for fire brigades to increase the effectiveness of aerial ladder operations. The drone serves as a precise eye that determines the 3D position of the source of the fire. The challenges are autonomous navigation in smoky environments and precise targeting of the extinguishing jet. Automation makes the system easier to handle, which improves its use in practice.

Funded by the German Federal Ministry of Education and Research.

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