Automation is a main driver of current technological leaps, examples are increasing automation (Industry 4.0) or increasing use of data. However, the training of automation experts is a challenge due to the interdisciplinarity: automation specialists must have knowledge of information technology, electrical engineering and process and manufacturing technology. This challenge manifests itself particularly in large training groups, since individually adapted assessments of learning outcomes are hardly possible.
In this research project, training and education software is to be created that actively supports automation experts in their learning through individualized and immediate feedback. The basis for this is an adaptive simulation of typical production processes and automation systems. Using artificial intelligence (AI) and machine learning (ML), a trainer agent analyzes the automation company’s level of knowledge and develops a sequence of learning scenarios. In addition, a role model agent offers help in the form of automation solutions, i.e. it generates sample solutions as models for the automation company. In addition to the AI-based role model agent, automation engineers can also benefit from solutions from other learners in a collaboration environment and exchange solutions and knowledge. The training and education software should be available to the general public.
Duration: 03/01/2021 – 02/28/2024
Project partner
TH OWL
Technical Academy Esslingen
Helmut Schmidt University / University of the Federal Armed Forces Hamburg
The KIAAA project is funded by the Federal Ministry of Education and Research (BMBF) under the funding number 16DHB4010 in the funding program “Innovative learning offers and learning settings / intelligent assistance systems”.
Letzte Änderung: 20. November 2023