Department of Artificial Intelligence

Intelligent systems are defined as problem-solving systems that perform tasks which would require intelligence if carried out by humans. They are characterised by their ability to make rational decisions, even when faced with complex, incomplete or uncertain data. Other typical characteristics include the ability to perceive the environment, to learn and adapt, and to assess the impact of their own actions.

Artificial intelligence opens up new ways of understanding data, automating processes and developing intelligent systems. The subject area provides in-depth knowledge of machine learning and modern AI methods and combines scientific principles with practical applications. Students learn to design innovative solutions for challenges in business, technology and society and to actively shape the future of digital transformation.

Our key areas of expertise

  • Machine Learning and Deep Learning
  • Anomaly Detection
  • Model-Based Safety Analysis and Diagnosis, Model Checking
  • Constraint Methods and Reason Maintenance Systems
  • Development of the AIMA-JAVA Library (Reference Java implementation for the book “Artificial Intelligence – A Modern Approach” by Russell / Norvig)
  • Autonomous systems, service robotics, and physical AI

Our teaching

The department supports the following courses, among others

  • Machine Learning (DSM, INF, WIF, elective)
  • Deep Learning for Computer Vision (INF, WIF, elective)
  • Advanced Machine Learning (ISY Master’s)
  • Artificial Intelligence (ISY Master’s)
  • Autonomous Mobile Systems (INF, ICS, elective)
  • Autonomous Systems (ISY Master's)

Our equipment

The Artificial Intelligence Department has several GPU workstations as well as servers with GPU support for research projects and for students participating in courses.

In addition, all students have access to the bwJupyter cloud service provided by the state of Baden-Württemberg, in which the THU participates.

Our equipment in the field of autonomous systems includes high-performance PCs with RTX 4090 graphics cards as well as various NVIDIA Jetson platforms, including the Jetson Orin Nano, Jetson Orin AGX, and Jetson Thor Dev Kits. For robotics applications, we have the Universal Robots UR10e and UR5e robotic arms at our disposal, which are equipped with Robotiq grippers and Schmalz vacuum suction cups. The equipment is complemented by mobile robots such as the MiR250 and the Festo Robotino, as well as educational robots, including the Yahboom ROSMASTER M3 Pro and other systems.

Copyright: THU
Artificial intelligence - Training AI models on a GPU workstation
Copyright: THU
Artificial intelligence - use of NVIDIA JetBot robots to demonstrate autonomous driving based on machine learning and AI
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Formally co-opted professorship
Faculty Production Engineering and Production Economics
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Faculty Mathematics, Natural and Economic Sciences
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Faculty Mechatronics and Medical Engineering
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Faculty Electrical Engineering and Information Technology
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