Use of AI in control engineering

Research Use of AI in control engineering

2024-12-18 Source: Uni Paderborn | Translated by AI 1 min Reading Time

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Artificial intelligence can advance technology in many areas. However, this also requires fundamental research.

The junior research group Dart with the self-balancing cube. From left: Dr.-Ing. Ricarda Götte, Dr.-Ing. Annika Junker, Luis Schwarzer, Dr.-Ing. Julia Timmermann, and Dr.-Ing. Michael Hesse.(Image: University of Paderborn, Heinz Nixdorf Institute) — The junior research group Dart with the self-balancing cube. From left: Dr.-Ing. Ricarda Götte, Dr.-Ing. Annika Junker, Luis Schwarzer, Dr.-Ing. Julia Timmermann, and Dr.-Ing. Michael Hesse.
(Image: University of Paderborn, Heinz Nixdorf Institute)

The junior group "Data-Driven Methods in Control Engineering" (Dart) at the Heinz Nixdorf Institute of the University of Paderborn has spent four years investigating how artificial intelligence (AI) can improve control engineering. With support from the BMBF, the researchers developed hybrid approaches that combine classical control methods with AI algorithms to control complex systems more precisely. These approaches enabled the improvement of inaccurate models and allowed for a better understanding and regulation of complex systems.

Practical applications such as an autonomous golf robot and a self-balancing cube demonstrate the potential of these methods. The golf robot uses hybrid approaches for image recognition and the calculation of swing speeds, while the cube is stabilized on edges or corners through the targeted use of flywheels. Both projects served as test platforms to evaluate the new methods under real conditions.

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Date: 08.12.2025

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