The research group Applied Technical-Cognitive Systems (ATKS) focuses on applied machine intelligence technologies. Based on fundamental research, new technical systems such as autonomous vehicles, autonomous service robots or assistance systems with cognitive capabilities are to be realized. The application of these so-called technical-cognitive systems primarily takes place in the context of highly automated, efficient and intermodal mobility, networked automated production and logistics as well as the interactive support of the user in everyday situations.

The addressed foundations of machine intelligence are primarily machine perception, situational understanding and behavioral decision-making. Methods of machine learning and probabilistic inference are researched and applied for all components. System evaluation and validation methods are an additional focus of applied research. Autonomous vehicles such as CoCar NextGen, CoCar, and CoCar-Zero, autonomous shuttles such as Anna and Ella, mobile robots such as the assistance robot Hollie, the Lauron walking machines or the inspection robot Kairo form valuable integration and evaluation platforms for applied research. They are being further developed in close cooperation with the FZI and used for joint research and teaching.

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