<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/"
     xmlns:pp="http://www.presspage.com/rss/"
     version="2.0"
     xmlns:atom="http://www.w3.org/2005/Atom">
                <channel>
                    <title><![CDATA[BMW Group Newsroom Belux]]></title>
                    <link>https://newsroom.bmwgroup.com/emea/fr-lu/</link>
                    <description></description>
                    <language>fr-lu</language>
                    <lastBuildDate>Thu, 29 Oct 2026 06:36:27 +0100</lastBuildDate>
                    <pubDate>Wed, 22 Jul 2026 09:58:00 +0000</pubDate>
<xhtml:meta xmlns:xhtml="http://www.w3.org/1999/xhtml" name="robots" content="noindex" />
                    <image>
                        <title><![CDATA[BMW Group Newsroom Belux]]></title>
                        <url>https://content.presspage.com/clients/150_3240.png</url>
                        <link>https://newsroom.bmwgroup.com/emea/fr-lu/</link>
                        <width>144</width>
                    </image><item>
                        <title>L&#039;usine BMW Group de Landshut développe des logiciels destinés à la robotique humanoïde dans le cadre de la production de composants.</title>
                        <link>https://newsroom.bmwgroup.com/emea/fr-lu/lusine-bmw-group-de-landshut-developpe-des-logiciels-destines-a-la-robotique-humanoide-dans-le-cadre-de-la-production-de-composants/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/fr-lu/lusine-bmw-group-de-landshut-developpe-des-logiciels-destines-a-la-robotique-humanoide-dans-le-cadre-de-la-production-de-composants/</guid><pp:caseid>821673</pp:caseid><pp:summary><![CDATA[+++ L'accent est mis sur le développement d'une pile logicielle reliant les données, la robotique et les applications dans la production de composants +++ Projet soutenu par des partenaires issus du monde universitaire et de l'industrie +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>+++ L'accent est mis sur le développement d'une pile logicielle
  reliant les données, la robotique et les applications dans la
  production de composants +++ Projet soutenu par des partenaires issus
  du monde universitaire et de l'industrie +++</p>
<p>//</p>
<p>
  <strong>Landshut.</strong> The BMW Group is expanding its expertise in
  the field of physical AI, with BMW Group Plant Landshut taking on
  central software development tasks for AI-supported robotics in
  component production. The focus is on open software platforms, the
  generation, provision and processing of training data, simulation and
  motion planning, as well as the training of robotic systems. These
  activities complement the pilot projects already underway exploring
  the use of humanoid robotics at Plants Leipzig and Spartanburg.</p>
<p>Landshut is leveraging its role as a centre of expertise for in-house
  component production. The wide range of products and manufacturing
  processes provides ideal conditions for developing and evaluating new
  approaches using AI-supported robotics under real-world production
  conditions. At the heart of these activities is the question of which
  tasks will be suited to humanoid robotic systems in the future –
  particularly where flexibility, fine motor skills and an understanding
  of the working environment are required. For this purpose, Plant
  Landshut is developing software that enables robots to perceive their
  environment, evaluate situations and derive appropriate actions independently.</p>
<p>“At BMW Group Plant Landshut, we are combining software expertise
  with industrial practice in our component production. This allows us
  to test new technologies at an early stage and carefully evaluate
  their benefits for production,” says <strong>Dr Wolfgang Bluemlhuber,
    head of Driving Dynamics and In-house Component Manufacturing</strong>.</p>
<p> </p>
<p>
  <strong>Technological foundations for AI-supported robotic systems<br />
  </strong>The starting point is further development of the software
  architecture. At its Landshut facility, the BMW Group relies on open
  platforms that enable the flexible and scalable training of robots by
  combining traditional (deterministic) programming with modern AI
  models (Vision-Language-Action (VLA) models), integrating visual
  information, language comprehension and robot actions. The goal is a
  modular robotics ecosystem in which diverse systems work together.
  This creates a technical basis for new functionality and a wide
  variety of industrial applications.</p>
<p>This requires reliable data. At Plant Landshut, the project team
  captures data from real production environments and test setups, and
  integrates it into robot simulations, in which movement patterns and
  motion planning are modelled virtually. This enables processes to be
  tested in advance and learning processes to be accelerated. New
  approaches are initially trialled outside of ongoing production,
  implemented in pilot projects and then scaled up in stages.</p>
<p>In parallel, humanoid robotic systems acquire new skill sets through
  demonstration-based learning. In this process, movement patterns and
  work sequences are first demonstrated by the project team. The data
  generated in this way is collected by camera systems, motion capture
  suits and data gloves. It is then converted into generalisable
  behavioural models – known as policies – that can be applied to
  different tasks and use cases.</p>
<p>“For us, it is crucial to develop the technology in very close
  alignment with real-world requirements. We are not just testing what
  is technically possible, but also where humanoid robotics can truly
  deliver reliable benefits in component production. This gradually
  creates a clear picture of which applications are suitable for
  industrial use,” says <strong>Christoph Jagoda, the Physical AI
    project manager at BMW Group Plant Landshut</strong>. </p>
<p> </p>
<p>
  <strong>Potential uses in component production<br />
  </strong>On this basis, Plant Landshut is working on applications for
  humanoid robotics in component production. The focus is on tasks
  requiring a high degree of flexibility, fine-motor skills and a good
  understanding of objects and working environments. This includes
  recognising and interpreting environments, determining position and
  status, planning efficient movements, and precisely gripping and
  moving components.</p>
<p>To refine the basic technology, the BMW Group is working closely at
  its Landshut site with partners from industry and academia. This
  includes, in particular, direct cooperation with Athenyx Robotics, a
  startup founded specifically for this field of technology that
  originated at the Laboratory for Machine Tools and Production
  Engineering (WZL) at RWTH Aachen University and is located in close
  proximity to BMW Group Plant Landshut.</p>
<p>The tech company is developing AI-based software for intelligent
  robotic systems in conjunction with BMW Group specialists. The primary
  focus is on creating a so-called “intelligence stack” that integrates
  perception, learning, simulation and decision-making. The aim is to
  enable humanoid robots to perform complex tasks in industrial
  environments independently. This requires the systems to be able to
  perceive their environment, evaluate situations and derive appropriate
  actions accordingly. The platform-based approach means that acquired
  skills can be transferred across different robotic systems and use
  cases in the future.</p>
<p>In addition, Plant Landshut is collaborating with specialists the
  University of Applied Sciences Landshut – for example, on data
  generation, simulation and the development and testing of specific use cases.</p><div class="import-contacts-wrapper"><div class="import-contact">Contact presse: Fanny De Leenheer<br>Tél: 038905175<br>Adresse e-mail: <a href="mailto:fanny.de-leenheer@partner.bmw.be">fanny.de-leenheer@partner.bmw.be</a></div></div></div>]]></description><category><![CDATA[Research &amp; Development,Production,Landshut]]></category>
            <pubDate>Wed, 22 Jul 2026 09:58:00 +0200</pubDate>
            <pp:lastModified>Wed, 22 Jul 2026 09:58:00 +0000</pp:lastModified>
            <enclosure url="https://content.presspage.com/uploads/3240/557cffef-d8cc-4458-aab1-c671738fab41/500_P90650700_highRes_bmw-group-plant-land.jpg?10000" length="0" type="image/jpg" />
                <pp:image>https://content.presspage.com/uploads/3240/557cffef-d8cc-4458-aab1-c671738fab41/500_P90650700_highRes_bmw-group-plant-land.jpg?10000</pp:image>
                <pp:imageOriginal>https://content.presspage.com/uploads/3240/557cffef-d8cc-4458-aab1-c671738fab41/P90650700_highRes_bmw-group-plant-land.jpg?10000</pp:imageOriginal><pp:imageTitle><![CDATA[P90650700_highRes_bmw-group-plant-land.jpg]]></pp:imageTitle></item><item>
                        <title>Prix ‘Automotive Lean Production’ pour la production de cockpits dans les usines du groupe BMW à Landshut et à Wackersdorf.</title>
                        <link>https://newsroom.bmwgroup.com/emea/fr-lu/prix-automotive-lean-production-pour-la-production-de-cockpits-dans-les-usines-du-groupe-bmw-a-landshut-et-a-wackersdorf/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/fr-lu/prix-automotive-lean-production-pour-la-production-de-cockpits-dans-les-usines-du-groupe-bmw-a-landshut-et-a-wackersdorf/</guid><pp:caseid>793743</pp:caseid><pp:summary><![CDATA[+++ Prix dans la catégorie « Fournisseur » pour l'interaction exceptionnelle entre le lean management, la digitalisation et la force d'innovation +++ Martin Frensch, Senior Vice President Body, Exterior Trim and Interior au sein du réseau d'achat et de fournisseurs du groupe BMW : « ‘Lean before Digital’ est notre principe directeur pour une production efficace et tournée vers l'avenir. » +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>
  <strong>+++ Award in the category "Supplier" for outstanding
    interaction of lean management, digitalization, and innovative power
    +++ Martin Frensch, Senior Vice President of Body, Exterior Trim and
    Interior in the purchasing and supplier network at BMW Group:
    "Lean before Digital is our guiding principle for efficient and
    forwardlooking production." +++</strong></p>
<p>
  <strong>
    <br /></strong>
  <strong>Landshut/Wackersdorf.</strong> The cockpit production at the
  BMW Group plants in Landshut and Wackersdorf will be awarded with the 
  Automotive Lean Production Award in the category "Supplier".
  The  jury was impressed by the outstanding ensemble of lean
  management, digitalization, and innovation in the interior components
  production at the BMW Group. The award will be presented at the 19th
  Automotive Lean Production Congress on November 25 and 26, 2025, in
  Poznań, Poland.<br />
  <br />
  <strong>Smart production of cockpits: increased flexibility and
    efficiency in the production and supply chain.</strong>
  <br />With highest precision, employees at the BMW Group plants in
  Landshut and Wackersdorf manufacture interior components for the BMW 1
  Series, 2 Series, 3 Series, 4 Series, 5 Series, and 7 Series, as well
  as the BMW iX. Every day, several thousand instrument panels and glove
  boxes leave the two component plants. "Technological know-how,
  highly automated production processes, AI-supported quality controls
  as well as lean value streams form the foundation for efficient work
  in this field of production," explains Wolf Duwenkamp, Vice
  President Purchasing, Quality, Production Cockpit and Door Panels at
  the BMW Group plants in Landshut and Wackersdorf.<br />
  <br />
  <strong>Excellent processes, digital transformation and highest
    quality standards.</strong>
  <br />The production process at the cockpit production of the BMW
  Group plants Landshut and Wackersdorf is based on the PULL principle.
  The workstations where sequencing begins are optimally supplied
  through self-regulating control loops, ensuring a smooth material
  flow. The digital transformation of employee roles, such as the mobile
  operator, demonstrates the close collaboration between humans and
  machines and brings out additional benefits. Automated end-of-line
  inspections using AI-supported camera systems, allow an early
  detection and elimination of potential sources of error.<br />
  <br />“Lean before Digital is our guiding principle for an efficient
  and forward-looking production in the component manufacturing. The
  combination of excellent processes, digital transformation, and the
  highest quality standards forms the foundation of our success. By
  sharing our knowledge, we actively contribute to the global
  supplier qualification, ensuring robust industrialization of all
  partners,” explains Martin Frensch, Senior Vice President of Body,
  Exterior Trim and Interior in the purchasing and supplier network at
  BMW Group. “To remain competitive, we must continuously question and
  develope ourselves. The Automotive Lean Production Award shows that we
  are benchmark, which is something to be proud of,” Frensch adds.<br />
  <br />
  <strong>About Automotive Lean Production – Award & Study.</strong>
  <br />The goal of the joint project by AUTOMOBIL PRODUKTION and Agamus
  Consult is to demonstrate how the European automotive industry
  leverages the potentials of lean and digitalization. For 19 years,
  companies – both OEMs and suppliers – have been participating in a
  benchmark study, facing international competition for the prestigious
  Automotive Lean Production Awards with the guiding  principle
  “Learning from the best!”.<br />
  <br />In the event of enquiries please contact:</p>
<p>
  <br />
  <strong>BMW Group, Corporate Communications</strong></p>
<p>
  <br />Carolin Seidel, Press Spokesperson BMW Group Plant
  Landshut<br />Email: Carolin.Seidel@bmwgroup.com, Phone: +49 151 601 90340<br />
  <br />Stefanie Schindler, Communications BMW Group Plant
  Landshut<br />Email: Stefanie.Schindler@bmw.de, Phone: +49 151 601 41977<br />
  <br />Saskia Graser, Head of Communications Regensburg and
  Wackersdorf Email: Saskia.Graser@bmw.de, Phone: +49 151 6060 2014<br />
  <br />Dr. Annika Biss, Communications BMW Group Plant
  Wackersdorf<br />Email: Annika.Biss@bmwgroup.com, Phone: +49-151-601-52588<br />
  <br />Media website: <a href="https://pressclub.bmwgroup.net/pressclub/ssob/cp/https://newsroom.bmwgroup.com/global/en">https://newsroom.bmwgroup.com/global/en</a><br />Email: presse@bmw.de<br />
  <br /></p>
<p>
  <strong>BMW Group Plant Landshut<br />
    <br /></strong>At BMW Group Plant Landshut, around 3,800 employees
  produce light metal cast engine, suspension and body structure
  components, electrical and electronic components, plastic components
  for the vehicle exterior, carbon body components, cockpit and
  equipment features, engines and propeller shafts. Plant Landshut is
  the BMW Group’s largest component plant and supplies components to all
  BMW Group vehicle and engine plants worldwide – and therefore for
  virtually every BMW, MINI and Rolls-Royce vehicle, as well as for BMW
  Motorrad. Component production at BMW Group Plant  Landshut is
  characterised by digitalisation, a focus on sustainability and a
  commitment to responsible use of resources. With its forward-looking
  technologies, BMW Group Plant Landshut assumes the role of innovation
  driver in the technological transformation of the automotive sector
  and its supplier industry. At the Technology Centre adjacent to the
  plant, specialists from a wide range of disciplines are brought into
  development processes for new vehicles in the early stages and help to
  actively drive sustainable development of future vehicle models. BMW
  Group Plant Landshut is a socially responsible, innovative and
  attractive employer for the region of Landshut and Lower Bavaria.<br />
  <br />
  <a href="https://www.bmwgroup-werke.com/landshut/en.html">https://www.bmwgroup-werke.com/landshut/en.html</a>
  <br />
  <br /></p>
<p>
  <strong>BMW Group Plants Regensburg und Wackersdorf<br />
    <br /></strong>The BMW Group vehicle plant in Regensburg has been in
  operation since 1986 and is one of more than 30 BMW Group production
  locations worldwide. Every workday, around 1,400 vehicles of the BMW
  X1 and BMW X2 models roll off the production line at Plant Regensburg,
  destined for customers around the globe. Different types of drive
  trains are flexibly manufactured on a single production line – ranging
  from vehicles with internal combustion engines to plug-in hybrids and
  fully-electric models.<br />
  <br />BMW Group Plant Regensburg was recognised as “FACTORY OF THE
  YEAR” 2024 in the category “excellent large-series assembly” of the
  prestigious industrial competition. As it implements the BMW iFACTORY,
  the BMW Group is focused on digitalisation of the Regensburg plant
  site to create a digital and intelligently connected factory. It is
  already possible to experience in virtual form what the factory will
  look like a few years from now. Production of models for the NEUE
  KLASSE, BMW’s next generation of vehicles, will ramp up in Regensburg
  in the second half of the decade.<br />
  <br />The BMW Group plant in Wackersdorf is home to cockpit production
  and parts supply for overseas plants. With the opening of a new
  battery testing centre and commissioning of the first phase in autumn
  2024, the location has also become a key facilitator for
  electromobility. An entirely new area of expertise for the site is the
  door and flap production centre for Rolls-Royce.<br />
  <br />The BMW Group core staff at the Regensburg and Wackersdorf
  locations in eastern Bavaria consists of around 9,250 employees,
  including around 350 apprentices.<br />
  <br />
  <a href="https://pressclub.bmwgroup.net/pressclub/ssob/cp/www.bmwgroup-werke.com/regensburg/de.html">www.bmwgroup-werke.com/regensburg/en.html</a></p>
<p> </p>
<hr />
<p>
  <strong>The BMW Group<br /></strong>
  <br />With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad,
  the BMW Group is the world’s leading premium manufacturer of
  automobiles and motorcycles and also provides premium financial
  services. The BMW Group production network comprises over 30
  production sites worldwide; the company has a global sales network in
  more than 140 countries.<br />
  <br />In 2024, the BMW Group sold over 2.45 million passenger vehicles
  and more than 210,000 motorcycles worldwide. The profit before tax in
  the financial year 2024 was € 11.0 billion on revenues amounting to €
  142.4 billion. As of 31 December 2024, the BMW Group had a workforce
  of 159,104 employees.<br />
  <br />The economic success of the BMW Group has always been based on
  long-term thinking and responsible action. Sustainability is a key
  element of the BMW Group’s corporate strategy and covers all products
  from the supply chain and production to the end of their useful life.</p>
<p>
  <br />
  <a href="https://pressclub.bmwgroup.net/pressclub/ssob/cp/www.bmwgroup.com">www.bmwgroup.com</a>
  <br />LinkedIn: <a href="http://www.linkedin.com/company/bmw-group/">http://www.linkedin.com/company/bmw-group/</a><br />YouTube: <a href="https://www.youtube.com/bmwgroup">https://www.youtube.com/bmwgroup</a><br />Instagram: <a href="https://www.instagram.com/bmwgroup">https://www.instagram.com/bmwgroup</a><br />Facebook: <a href="https://www.facebook.com/bmwgroup">https://www.facebook.com/bmwgroup</a><br />X: <a href="https://www.x.com/bmwgroup">https://www.x.com/bmwgroup</a></p><div class="import-contacts-wrapper"><div class="import-contact">Contact presse: Jeroen Lissens<br>Tél: +32-3-890-9708<br>Adresse e-mail: <a href="mailto:jeroen.lissens@bmw.be">jeroen.lissens@bmw.be</a></div></div></div>]]></description><category><![CDATA[Press Release,Research &amp; Development,Locations,Production,Production Plants,Regensburg,Wackersdorf,Landshut]]></category>
            <pubDate>Fri, 08 Aug 2025 09:07:27 +0200</pubDate>
            <pp:lastModified>Fri, 08 Aug 2025 09:07:27 +0000</pp:lastModified>
            <enclosure url="https://content.presspage.com/uploads/3240/3c9af974-9428-4a12-b069-d4cb984236a4/500_P90557858_highRes_employees-at-bmw-gro.jpg?10000" length="0" type="image/jpg" />
                <pp:image>https://content.presspage.com/uploads/3240/3c9af974-9428-4a12-b069-d4cb984236a4/500_P90557858_highRes_employees-at-bmw-gro.jpg?10000</pp:image>
                <pp:imageOriginal>https://content.presspage.com/uploads/3240/3c9af974-9428-4a12-b069-d4cb984236a4/P90557858_highRes_employees-at-bmw-gro.jpg?10000</pp:imageOriginal><pp:imageTitle><![CDATA[P90557858_highRes_employees-at-bmw-gro.jpg]]></pp:imageTitle></item></channel>
                    </rss>