Reference projects

In a collaboration between Porsche AG and Fraunhofer IPA, AI-based concepts for production planning and control are being developed. The aim is to improve the stability of customer order management and to offer customers maximum flexibility and transparency.

The AMBOS-3D project is about technical support in workshops for people with disabilities through modern optical 3D sensor technology and open source developments.

Time-saving weed removal from row crops without chemicals: the autonomous platform uses optical sensor technologies to detect weeds and remove them mechanically.

In the ARAIG project, Fraunhofer IPA makes the safety and performance of service robots comparable and comprehensible. The developed testing environment enables manufacturers of mobile robots to evaluate the safety and performance of their products via standardized tests.

The aim of the research project “Attention-Sensitive Assistance Robot” (ASARob) was to develop new skills for interactive assistive robots - including new image processing solutions - so that they can detect the state of attention of their human counterparts and, if appropriate, influence and guide it through their behavior.

Improving the accuracy of cable-driven parallel robots is an important field in cable robotics research. A newly-developed sensor directly measures the cable lengths and can increase the accuracy by up to 86 percent.

EOS GmbH offers its customers advanced systems for industrial 3D printing. It is also forging ahead with digitizing its own product development process. Together with Fraunhofer IPA, EOS has developed a new data-driven business model that can be used to generate even more added value for the customer.

The project aimed at transferring the efficient mechanized production processes at Siemens to rounding fir-shaped grooves.

Fraunhofer IPA developed a robot prototype and programming software for welding-as-a-service on construction sites. The system based on ROS is capable of collision-avoidance, column localization and changing tool for removal of slag. The proof of concept for autonomous multi-layer welding was demonstrated with real welding tests in our lab.

The AI-based image processing system developed at Fraunhofer IPA extends existing optical quality controls. The resulting lower pseudo error rate in the AOI process means that fewer manual rechecks are required.