Robotic Lab
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Prof. Alexander Oppermann
T +49 (0)69.800 59-220
West wing, room D101
Ivan Iovine
Research assistant,
Head Robotik-Lab
T +49 (0)69.800 59-305
Main building, Room 5
The Robotics Lab is part of the Electronic Media Department within the Faculty of Art. It supports students in developing interactive installations using physical computing, robotics, digital fabrication and artificial intelligence. The courses and workshops offered by the Robotics Lab aim to teach students methods and processes for realising interactive installations based on computer vision models and algorithms. This will enable them to create works that bridge the virtual and physical worlds. Computer vision is a field of artificial intelligence that allows computers to interpret and understand visual information in a similar way to humans. It includes methods of image and video analysis, as well as object recognition and tracking.
Equipped with digital fabrication machines, the lab provides a space for students to experiment with materials and additive manufacturing processes to develop their artworks. The interactive design of the works is achieved through the integration of machine learning models for object detection, image processing and real-time recognition of body parts such as faces and hands. Reflection on the societal implications of these technologies, as well as ethical and social aspects, is an essential part of the learning process. Particular attention is paid to the impact of biases that are often present in face and body recognition models.
The lab is equipped with digital manufacturing machines such as a CNC milling machine, a laser cutter and 3D printing technologies. A cobot is also available for experiments in the field of computer vision and additive manufacturing.
The Robotics Lab offers a range of courses, including introductory and advanced courses on topics such as physical computing, robotics and computer vision.
Funded by the Federal Ministry of Education and Research as part of the joint project "KITeGG - Making and understanding AI tangible: Connecting technology and society through design". Further information here.
Student work
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REF069
Rahel Pabst, Joschua Y. Arnaut
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