We use cookies, similar technologies and tracking services

This website uses cookies, similar technologies and tracking services (hereinafter referred to as “Cookies”). We need your consent for Cookies, which not only serve to technically display our website, but also to enable the best possible use of our website and to improve it based on your user behavior, or to present content and marketing aligned with your interests. For these purposes, we cooperate with third-party providers (e.g. Salesforce, LinkedIn, Google, Microsoft, Piwik PRO). Through these partners you can also receive advertisements on other websites.
If you consent, you also accept certain subsequent processing of your personal data (e.g. storage of your IP address in profiles) and that our partners may transfer your data to the United States and, if applicable, to further countries. Such transfer involves the risk that authorities may access the data and that your rights may not be enforceable. Please select which Cookies we may use under ”Settings”. More information, particularly about your rights, e.g. to withdraw consent, is available in our Privacy Policy .

Settings

Only technically necessary Cookies

Accept everything

Below, you can activate/deactivate the individual technologies that are used on this website.

Accept All

Essential

These Cookies make a website usable by providing basic functions such as page navigation, language settings, Cookie preferences and access to protected areas of the website. Cookies in this category additionally ensure that the website complies with the applicable legal requirements and security standards. Owing to the essential nature of these Cookies, you cannot prevent their use on our website. Details about these Cookies are available under 'More information'.

Functionality and personalization

These Cookies collect information about your habits when using our web pages and help us to enhance your user experience by tailoring the functions and attractiveness of our web pages based on your previous visits, location and browser settings. They also enable access to integrated third-party tools on our website (e.g., Microsoft Azure for single sign-on authentication). This can involve transferring your data to the United States (for information on the risks involved read Clause 1.5 of our Privacy Policy). If you refuse these Cookies, you might not be able to access the full functionality of the website. Details about the tools we use are available under 'More information'.

Analysis

These Cookies are used to compile basic usage and user statistics based on how our web pages are used (e.g. via Google Tag Manager, Piwik PRO). If you accept these Cookies, you simultaneously consent to your data being processed and transmitted to the United States by services such as Salesforce Pardot (for information on the risks involved read Clause 1.5 of our Privacy Policy). Details about the tools we use are available under 'More information'.

Marketing and social media

These Cookies help third-party sources collect information about how you share content from our website on social media or provide analytical data about your user behavior when you move between social media platforms or between our social media campaigns and our web pages (e.g., LinkedIn Insights). Marketing Cookies from third-party sources also help us measure the effectiveness of our advertising on other websites (e.g. Google Ads, Microsoft Advertising). We use these Cookies to optimize how we deliver our content to you. The third-party sources and social media platforms we use can transfer your data to the United States (for information on the risks involved read Clause 1.5 of our Privacy Policy). If you accept these Cookies, you simultaneously consent to your data being transferred and processed as described above. Details about the tools we use and our social media presence are available under 'More information'.

More information

Save Settings

Dürr takes a leading role in AI development for robot cell configuration

Kick-off of the new RoX federal research project at Dürr

Bietigheim-Bissingen, November 28, 2024 – Dürr is participating in the RoX research project, which aims to establish a digital ecosystem for AI-based robotics. Approximately 30 companies and research institutes are collaborating in a consortium to develop practical solutions over the next two and a half years. Dürr is contributing by working on an intelligent tool to improve and accelerate the development of painting processes, from initial planning to commissioning. The project, funded by the German Federal Ministry for Economic Affairs and Climate Protection, was launched with a two-day workshop at Dürr's headquarters.

The RoX project aims to provide German industry with its own AI infrastructure for robotic systems across multiple sectors. A cloud-based ecosystem will enhance efficiency in manufacturing and development while ensuring greater independence and data sovereignty compared to international competitors. To achieve these goals, several use cases have been identified for collaborative development. The kick-off event at Dürr's headquarters in Bietigheim-Bissingen, brought together around 100 representatives from leading companies in the automotive, chemical, pharmaceutical, and aerospace industries, as well as industry associations and research institutions.

Focus on practical applications
The RoX project emphasizes practical applications to address key industry challenges. At the kick-off event, consortium members introduced sub-projects, formed working groups, and outlined initial work packages with timelines. Dürr is leading a use case to develop an AI tool over the next 30 months, assisting developers throughout the entire process from assembly to commissioning of robot cells. Drawing on decades of global project experience, Dürr is collaborating with its partners to advance AI expertise in robot-based painting automation through simulation models.

The benefit: AI should support developers
When configuring a robot cell, developers must make critical decisions early in the development process. “The number, space requirements, and motion sequences of the robots used, the resulting layout of the system, the assignment of tasks, possible painting programs, etc. – all of this has to be defined in order to ultimately achieve the customer's required cycle time,” explains Florian Jaensch, who is responsible for the RoX project at Dürr. Dürr’s working group is configuring an AI tool to assist developers with these decisions and take on other tasks independently during commissioning. For example, in the future, AI could optimize path programming autonomously, increasing efficiency. This level of automation aims to accelerate the robot cell configuration process overall.

Knowledge database of expert and process knowledge
The foundation for this initiative is a knowledge database that consolidates expert and process knowledge, enabling AI to utilize it effectively. By drawing on data and specifications from the knowledge database – including concepts from earlier projects – the AI can generate initial suggestions, such as suitable robot types or layouts, up to the fully configured robot cell with associated process parameters. This reflects a gradual shift in the distribution of roles and tasks between developers and their tools. In the future, developers in industrial manufacturing will primarily define requirements, which AI will then use to automatically generate solution proposals, similar to how large language models like ChatGPT operate today.

Addendum:
The RoX research project is funded by the German Federal Ministry for Economic Affairs and Climate Protection through DARP funds, based on a resolution of the German Bundestag. It is also financed by the European Union under NextGenerationEU. The views and opinions expressed in the text are solely those of the author(s) and do not necessarily reflect the views of the European Union or the European Commission. The European Union and the European Commission assume no responsibility for them.

About 8ra/IPCEI-CIS: 
8ra is the key digital initiative for Europe driven by more than 100 companies and research organizations from 12 EU Member States aiming to establish the first-ever “Multi-Provider Cloud-Edge Continuum”. The main objective is the creation of an entirely new decentralized environment, which will enable software infrastructure for the advanced use of data processing resources from Cloud to Edge. This novel open ecosystem operated by multiple providers will reduce technological dependencies as well as lock-in effects. Moreover, it will enable a whole new dimension of data-driven business models, e.g., AI- and IoT-related, for a broad spectrum of domains and industries such as manufacturing, mobility, energy and tourism. During the course of the funded projects, a total volume of several billion Euros will be invested.  
For further information please visit www.8ra.com.  

  • Group photo of the consortium meeting at Dürr.

  • Florian Jaensch, Dürr Systems AG, presents the Dürr-specific use case that will be researched together with the partners over the next two and a half years.

  • Participants at the consortium meeting gain an exclusive insight into robot assembly at Dürr Systems, the heart of the company.