Digitalization of product systems

This research area is subdivided into several thematic areas. One part focuses on the classic programming of industrial robots for complex applications in the manufacturing of fiber composite components. Operating autonomous robot systems with AI support for various missions is also part of this area, as well as the digitalization of manufacturing processes.

• automated path planning
• object detection

AI-supported algorithms are used to plan routes for ground-based or flying robotic systems. These systems then autonomously reach their mission targets. The cooperation of multiple systems, both flying and ground-based, also plays an important role. Application scenarios include, for example, the detection and suppression of forest fires.

FlexiCAM offers the possibility of virtual (manufacturer-independent) offline programming of CNC and robot-based applications. It includes tools for multi-robotic system programming. Integration of a process database is possible, providing access to path and process parameters.

FlexiCAM relies on knowledge-based parameters and a know-how archiving function. Process simulation and analysis are intended to be an integral part of the CAM environment.

At the IFB, the FlexiCAM environment is used in various robot-assisted manufacturing processes, such as the winding of high-pressure hydrogen tanks or braiding.

• Recording and storing process parameters for manufacturing processes
• Saving machine data

To fully understand manufacturing processes, it is essential to calibrate all relevant parameters. This includes the individual parameters of the machines used, as well as environmental factors such as temperature and humidity. To achieve this, all machines and sensors must be integrated into a unified system.