With the project partners from BAUER Maschinen GmbH, HAWE Hydraulik SE, Sensor-Technik Wiedemann GmbH, and the project management of the Institute of Automation and Information Systems, research was carried out over 3.5 years on adaptive, intelligent, learning control systems on a multi-agent basis. The project developed a platform for the practical, industrial design and use of shared control approaches between machine operators and MAS, which can be used in complex machines with distributed control systems. The use of the platform was successfully tested on a system.
In the project, the Chair of Ergonomics intensively investigated the machine operator's work task and analyzed the expert knowledge and human-machine interaction in controlling specific work processes of rope grippers. An abstract mental model of the interaction was formalized from the perspective of the machine operator (Prinz et al. 2024). Based on the understood cause-effect relationships, a concept for interacting with the new assistants was developed and evaluated.
A warm thank you to the project partners and the Bavarian Research Foundation for the excellent cooperation!