The CoR-Lab offers interdisciplinary competencies that address research questions on the working world of the future from the perspectives of computer science, psychology, sociology and economics in a goal-oriented and cooperative manner. Together with partners from industry and the service sector, CoR-Lab scientists work closely together to develop solutions that are then applied and evaluated in practice. In the following, we introduce you to the professors and working group leaders currently active in the CoR-Lab and their competencies. The links will provide you with more detailed information on the profiles of the participating working groups.
In the EU project VEDLIoT, IoT devices are developed based on Deep Learning methods to make them more powerful and energy efficient.
Funded by EU Horizon 2020, No.: 957197
In the COVR EU AWARD project CoSMo, methods for efficient proof of safety of collaborative human-robot applications are developed.
Funded by EU-Horizon 2020, No.: COVR 12341234.2
CogIMON investigates interactions that require active and adaptive regulation of both human and robot motion and behavior.
Funded by EU-Horizon 2020, ICT No.: 644727.
In AI4DG, a decentralized AI platform is being developed that enables secure and autonomous control of distribution grids with a high share of RE.
Funded by the BMBF, FKZ.: 01IS21101A
Construction of a verifiable electronic assembly, from production and commissioning to the end of the operating phase, applicable in critical infrastructures.
Funded by the BMBF, FKZ.: 16ME0276
The competence center bundles know-how and experience from science and industry in association with trade unions on the topics of AI and Work 4.0.
Funded by the BMBF, FKZ.: 02L19C104
The BMBF-funded ITS.ML project is concerned with the use of machine learning methods for intelligent technical systems of the next generation.
Funded by the BMBF, FKZ.: 01IS18041A
Method development in the area of explainability and transparency of ML and research of central questions for episodic, interactive learning.
Funded by the BMBF, FKZ.: 01IS19080A
The working group contributes to the digital innovation platform and carries out transfer pilots with medium-sized companies as case studies.
Funded by the MWIDE NRW, FKZ.: 005-2011-0036
Realization of a digital extended reality assistance system (XR), to improve the technical training of junior staff.
Funded by the MKW NRW, FKZ.: 005-2011-0241
The aim of the project is to optimize the efficiency of the harvest. A sensor network will monitor machine processes and interpret them using AI.
Funded by the MWIDE, FKZ.: 005-2001-0028
The aim of the ML4Pro² project is to make the latest machine learning (ML) methods sustainably available for intelligent products and production processes.
Funded by the MWIDE, FKZ.: 1807ow003a