Artificial intelligence
Focus on learning machines
On the first two days of the trade fair, visitors were particularly interested in the topic of artificial intelligence. Many came to Hanover with the desire to find out how this much-discussed topic can be used for their own industrial production. And they found answers from exhibitors in every single hall.
Siemens, for example, used Hannover Messe 2024 to present the first generative artificial intelligence product for engineering in an industrial environment. The Siemens Industrial Copilot, a generative AI-supported assistant, is seamlessly connected to the Totally Integrated Automation (TIA) portal. Automation engineers can find answers to their questions faster, generate a basic visualization and develop code for programmable logic controllers (PLCs) more quickly. This significantly reduces their workload, routine tasks can be outsourced to Siemens Industrial Copilot and the engineering of complex tasks is less error-prone. With quality and productivity increasing in the long term, development times are significantly shorter. The Siemens Industrial Copilot for TIA Portal Engineering will be available for download from the Siemens Xcelerator Marketplace from summer 2024.
Learner co-pilot
Microsoft is presenting a jointly developed AI-based project together with BMW in a showcase at the trade fair stand: the Copilot in Microsoft Dynamics 365 Guides uses voice control to help BMW integrate data for vehicle development from different systems, derive conclusions and thus noticeably simplify and accelerate the development processes. BMW also relies on HoloLens 2, which projects the data-based results as holograms onto real components.
Automated modernization
KIT and the FZI Research Center for Information Technology will be presenting their projects at a joint stand in the Future Hub in Hall 2. The aim of the AgiProbot project, for example, is to enable factories to adapt autonomously to constantly changing conditions. Remanufacturing is an ideal use case for this: Used products are brought up to the quality standard of new products through disassembly, refurbishment and reassembly so that they can be reused. Remanufacturing thus contributes to a sustainable circular economy.
The KIT demonstrates how the robots learn in AgiProbot using the example of inspecting used products: During the inspection, an assessment is made as to whether a used product can be refurbished and reused. In AgiProbot, the initial inspection of used products, which is usually carried out by humans, is automated at an inspection station. The station uses optical measurement technology such as a robot-guided camera system and artificial intelligence methods. This enables the station to learn to determine the condition and defects independently. | dsc
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