Reference projects

Here we show a small selection of our current and successfully completed research and industrial projects.

Please note that many of our references are subject to secrecy and therefore can not be displayed.

Please do not hesitate to contact our departments directly if you can not find your task.

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  • 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.

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  • Innovations in production logistics at BMW include the “Smart Transport Robot” (STR) developed by BMW in cooperation with the Fraunhofer Institute for Material Flow and Logistics IML. In the past, the STR navigated on fixed paths and required special sensors and a close-meshed network of anchors for localization. BMW wanted a solution that was more flexible, autonomous and economical. It was able to realize this with the IPA navigation software, which uses the safety laser scanner already integrated into the STR for navigation. Methods for dynamic path planning and obstacle avoidance assure the necessary degree of autonomy.

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  • With the BIOTRAIN project, an extensive pilot survey on the biological transformation of the industrial value chain was started under the management of Fraunhofer IPA on the 1st of November 2017. Other members of the project consortium are the Fraunhofer institutes IGB, IML, IWM, IPT and IWU. The project aims at analyzing the potential and requirements associated with implementing biological transformation, particularly regarding a sustainable economy.

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  • Fraunhofer IPA is a member of the “Digital Innovation Hubs in Healthcare Robotics” (DIH-HERO) project and supports cooperation, technology transfer and innovations in the field of service robotics in the healthcare sector. Interested companies can take advantage of various involvement and funding opportunities.

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  • Atlas Copco IAS links joining technologies with data-driven services for maintenance, quality, and process optimization. Together with Fraunhofer IPA, a feasibility analysis in the form of a stress test was carried out on the services developed. This ensures technical, organizational, and economic feasibility and increases potential.

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