{"id":535037,"date":"2025-11-26T13:14:32","date_gmt":"2025-12-05T14:16:15","guid":{"rendered":"https:\/\/www.capgemini.com\/pt-en\/?p=535037&#038;preview=true&#038;preview_id=535037"},"modified":"2026-01-22T07:41:27","modified_gmt":"2026-01-22T07:41:27","slug":"driving-intelligent-automotive-manufacturing-how-robotics-and-ai-are-transforming-oem-operations","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/pt-en\/insights\/expert-perspectives\/driving-intelligent-automotive-manufacturing-how-robotics-and-ai-are-transforming-oem-operations\/","title":{"rendered":"Driving intelligent automotive manufacturing: How robotics and AI are transforming OEM operations"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>Driving intelligent automotive manufacturing: How robotics and AI are transforming OEM operations<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"\/wp-content\/themes\/capgemini2025\/assets\/images\/cg-logo-white.svg?w=200&amp;quality=10\" alt=\"\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Roshan Batheri &amp; Ramon Antelo<\/h5><h5 class=\"blog-date\">Nov 26, 2025<\/h5><\/div><\/div><div class=\"brand-image\"><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-intro-para section section--intro\"><div class=\"intro-para\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-2\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/insights\/expert-perspectives\/driving-intelligent-automotive-manufacturing-how-robotics-and-ai-are-transforming-oem-operations\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/insights\/expert-perspectives\/driving-intelligent-automotive-manufacturing-how-robotics-and-ai-are-transforming-oem-operations\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div class=\"col-12 col-md-8\"><h2 class=\"intro-para-title\">Robots are already a fixture in automotive plants, and are a pivotal element of any <a href=\"https:\/\/www.capgemini.com\/solutions\/intelligent-manufacturing-services-for-automotive\/\">intelligent manufacturing<\/a> strategy. The convergence of robotics with other emerging technologies such as agentic AI and liquid neural networks could transform the way we make vehicles over the next few years. This article examines those transformative opportunities.<\/h2><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"wp-block-cg-blocks-group section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"grid-container\"><div><div class=\"article-text article-quote-text\">\n<h3 class=\"wp-block-heading\" id=\"h-robotics-in-automotive-a-major-growth-area-for-the-next-decade\">Robotics in automotive: a major growth area for the next decade<\/h3>\n\n\n\n<p>Robotics is generating headlines in the automotive industry right now, with major investments expected over the next few years. The market for robotics in automotive could grow from around $9bn in 2024 to around $22.5bn in 2033, according to <a href=\"https:\/\/www.researchandmarkets.com\/report\/automotive-robotics\">one source<\/a>.<\/p>\n\n\n\n<p>Why is there so much excitement now, when robots are already firmly established in automakers\u2019 factories? To a great extent, the upward investment trend is the result of transformational opportunities presented by the integration of robotics with emerging technologies.<\/p>\n\n\n\n<p>In general, operational technology (OT) is being increasingly automated through the application of machine learning (ML) and AI, including agentic AI. (For more about this topic, please read our POV on <a href=\"https:\/\/www.capgemini.com\/insights\/research-library\/the-new-ai-imperative-in-manufacturing\/\">the new AI imperative in manufacturing<\/a>, co-authored with Microsoft.)<\/p>\n\n\n\n<p>One of the results is a new generation of more intelligent robots. A key concept here is physical AI, where AI is combined with machines so that it becomes able to interact with the physical world. This paves the way for adaptive processes that improve efficiency, precision, and safety.<\/p>\n\n\n\n<p>This concept can revolutionize automotive production lines, making it possible to automate key tasks such as quality control. For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Quality inspection: AI-driven vision systems can use high-resolution cameras and deep learning to inspect vehicles and components with superhuman precision.<\/li>\n\n\n\n<li>Defect detection: AI-driven robots can identify microscopic surface flaws, misalignments, or paint inconsistencies that are difficult for human inspectors to spot.<\/li>\n<\/ul>\n\n\n\n<p>Because physical AI results in autonomous systems that perceive, understand, and interact with the world, it has a major part to play in intelligent manufacturing.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Adding AI to existing robots<\/h2>\n\n\n\n<p>Of course, automotive factories are already full of robots, and it will not be commercially viable to replace these with next-generation models equipped with the embedded chips needed to run AI. Nor do most existing robots have the capacity to have AI retrofitted.<br><br>Instead, AI capabilities can be added at the edge, and can then interact with the robots to give them advanced capabilities such as context awareness. This type of edge AI \/ robotics suite, along with hybrid edge-to-cloud platforms, is evolving rapidly and becoming highly relevant to automotive. Digital twins are increasingly used for validation of the resultant features.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Benefits of advanced robotics<\/h2>\n\n\n\n<p>This integration and convergence will position automakers to improve productivity and cut costs, strengthening their leadership in the current high-pressure business environment. That is mainly because the addition of technologies such as AI and ML to robots will give them the ability to take over a whole range of tasks that were previously hard to automate because of their unpredictability.<\/p>\n\n\n\n<p>As MIT\u2019s Daniela Rus explained in a recent <a href=\"https:\/\/www.capgemini.com\/insights\/research-library\/a-conversation-with-daniela-rus\/\">conversation with Capgemini<\/a>: \u201cIn manufacturing and logistics, robots will no longer be limited to repetitive tasks. They\u2019ll collaborate with humans, adapt to changes in workflows, and learn new skills without reprogramming.\u201d<\/p>\n\n\n\n<p>The result will be advanced robots, including existing robots enhanced by AI at the edge, as well as new AI-enabled models. Eventually, humanoid robots will take their place in automotive factories. Humanoid robots are attractive because they offer greater flexibility than traditional ones, and are suited to operating in environments designed for humans, using the same physical tools.<\/p>\n\n\n\n<p>Advanced robots like this bring multiple benefits, summarized in the table below.<\/p>\n\n\n\n<p>Robots\u2019 flexibility will help businesses respond in an agile manner to an unpredictable environment. For example, switching a production line from one model to another should happen rapidly and with minimal human intervention.<\/p>\n\n\n\n<p>Equally importantly, automation through advanced robotics will enable human experts to focus on innovation rather than running plants, enabling automotive companies to maintain their market lead despite mounting competition from digital-native newcomers. At the same time, offering this more cognitively stimulating work will help the companies to recruit and retain scarce talent.<\/p>\n\n\n\n<p>Advanced robots like this bring multiple benefits, summarized in the table below.<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table class=\"has-border-color has-cyan-bluish-gray-border-color has-fixed-layout\" style=\"border-width:7px\"><tbody><tr><td><strong>Increased productivity and efficiency<\/strong><\/td><td><strong>Enhanced quality and precision<\/strong> &nbsp;<\/td><\/tr><tr><td><strong>24\/7 operation:<\/strong> Robots can work continuously without breaks, leading to higher throughput and faster production cycles. <br><strong>Higher speed:<\/strong> Robots perform tasks much faster than humans, increasing overall output and reducing manufacturing times. <br><strong>Lower labor costs:<\/strong> Robots can reduce direct labor costs by handling tasks that previously required human intervention. &nbsp;<\/td><td><strong>Consistency:<\/strong> Robots meticulously follow programmed instructions, ensuring every product meets the same high standards and reducing error rates. <br><strong>Reduced waste:<\/strong> Robots\u2019 accuracy leads to less scrap and fewer defects, improving product yields. &nbsp;<\/td><\/tr><tr><td><strong>Improved workplace safety<\/strong> &nbsp;<\/td><td><strong>Flexibility and scalability<\/strong> &nbsp;<\/td><\/tr><tr><td><strong>Hazardous tasks:<\/strong> Robots can handle dangerous jobs, operate in extreme environments (like high heat), and manage hazardous materials, significantly reducing worker exposure to risks.<br><strong>Ergonomic benefits:<\/strong> Robots eliminate the need for humans to perform strenuous or repetitive motions that can lead to injuries and fatigue.<\/td><td><strong>Adaptability:<\/strong> Robots can be quickly reprogrammed and redeployed for different tasks, allowing manufacturers to respond rapidly to market changes, new product variants, or increased demand. <br><strong>Scalability:<\/strong> Systems can be adjusted to meet fluctuating production requirements, offering a scalable solution for businesses.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Robots\u2019 flexibility will help businesses respond in an agile manner to an unpredictable environment. For example, switching a production line from one model to another should happen rapidly and with minimal human intervention.<\/p>\n\n\n\n<p>Equally importantly, automation through advanced robotics will enable human experts to focus on innovation rather than running plants, enabling automotive companies to maintain their market lead despite mounting competition from digital-native newcomers. At the same time, offering this more cognitively stimulating work will help the companies to recruit and retain scarce talent.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Challenges of humanoid robots<\/h3>\n\n\n\n<p>It\u2019s worth noting here that advanced humanoid robots in automotive factories face challenges such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>High cost:<\/strong> The initial investment and ongoing maintenance for robots can be extremely expensive.<\/li>\n\n\n\n<li><strong>Battery limitations:<\/strong> Battery life is a significant bottleneck, with current models often limited to just a few hours of active work per charge, so that frequent swaps are needed to maintain continuous operation.<\/li>\n\n\n\n<li><strong>Speed and strength limitations:<\/strong> Many advanced robots are currently slower and less powerful than specialized, fixed industrial automation systems or human workers.<\/li>\n\n\n\n<li><strong>Safety concerns:<\/strong> While robots are designed to be collaborative, ensuring absolute safety in fast-paced environments still requires extensive testing, and a loss of power could still pose a risk.<\/li>\n\n\n\n<li><strong>Programming complexity:<\/strong> Effectively implementing and maintaining robots requires advanced skills and configurations.<\/li>\n<\/ul>\n\n\n\n<p>Taking account of these challenges, the new robots are best suited to complex multi-purpose tasks where their ability to work in human-centric environments and collaborate safely is a key advantage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-seize-the-opportunities-of-advanced-robotics\">Seize the opportunities of advanced robotics<strong><\/strong><\/h3>\n\n\n\n<p>So there is a strong business case for automotive companies to adopt the next generation of industrial robots. To do so successfully, several preparatory actions are needed.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-understand-the-opportunities-and-harness-innovative-technologies-and-techniques\"><strong>Understand the opportunities and harness innovative technologies and techniques<\/strong><\/h4>\n\n\n\n<p>A major area of opportunity for automotive companies is opened up by cobots \u2013 AI-powered robotic systems that handle repetitive, high-precision, and strenuous tasks alongside human workers. We <a href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/enhance-manufacturing-efficiency-with-ai\/\">discussed<\/a> this topic earlier in this series. Examples of cobot applications in automotive include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Materials handling: Cobots can work alongside humans, carrying out assembly line tasks like materials handling with precision and speed.<\/li>\n\n\n\n<li>Adaptive assembly: Instead of following fixed programs, AI-enabled robots can adapt their movements based on real-time visual feedback, allowing them to handle the variability of complex tasks like cable routing or fitting transmission components.<\/li>\n<\/ul>\n\n\n\n<p>Cobots are one of several areas of opportunity for automakers to explore. But to realize these opportunities, auto manufacturers need to get to grips with a range of new concepts \u2013 including advances in AI and related technologies, novel applications of those technologies, and better ways of working with them. Here are just a few examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hybrid AI combines generative AI with other models based on a new type of AI: <a href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/what-are-liquid-neural-networks-and-why-should-you-care\/\">liquid neural networks<\/a> (LNNs). Compared with large language models, these are easy to train, use few computing resources, and produce results that are both accurate and explainable.<\/li>\n\n\n\n<li>As robots take on more and more work within the factory, better ways of assuring reliability become vital. For example, digital twins will increasingly be used to validate robotics solutions \u2013 and other aspects of an automated production line \u2013 prior to deployment. The explainability of LNNs can also facilitate validation.<\/li>\n\n\n\n<li>Sustainability should be engineered into robotics solutions from the outset \u2013 and sustainable energy use is a major consideration given the power-hungry nature of many AI models. As Daniela Rus says in her <a href=\"https:\/\/www.capgemini.com\/insights\/research-library\/a-conversation-with-daniela-rus\/\">conversation with Capgemini<\/a>: \u201cOne key strategy is to develop more efficient AI architectures. For example, LNNs offer strong performance with fewer parameters and lower compute needs.\u201d<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-medium-font-size\"><em>\u201cA new generation of multi-purpose, AI-powered robots is round the corner: one that will offer major advantages to companies implementing intelligent manufacturing strategies. As experienced robotics users, automotive companies are strongly positioned to leverage these new robots, taking advantage of their flexibility, collaborative capabilities, and ability to respond to their environments. Apart from the challenge posed by the scarcity of the specialist skills required for implementation, a sound implementation strategy will be crucial to ensure acceptance, learning to collaborate with physical AI instead of competing with it.\u201d<br><\/em><\/p>\n\n\n\n<p class=\"has-small-font-size\"><em>Nicolas Rousseau, EVP, Chief Digital Engineering &amp; Manufacturing Officer, Capgemini Engineering<\/em><\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-manage-technical-and-organizational-transformation\">Manage technical and organizational transformation<\/h4>\n\n\n\n<p>Although automotive companies are already expert in many aspects of robotics, they will need to adapt to the new generation of robots. Technical tasks will include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dealing with the diversity of hardware ecosystems<\/li>\n\n\n\n<li>Integrating data into diverse formats<\/li>\n\n\n\n<li>Developing the complex AI algorithms needed to control operations<\/li>\n\n\n\n<li>Achieving the low latency required for mission-critical processes<\/li>\n<\/ul>\n\n\n\n<p>The human side of the organization will also need to adapt. <a href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/take-supply-chain-resilience-and-efficiency-to-the-next-level-with-agentic-ai\/\">An earlier article<\/a> in this blog series emphasized that the true power of innovative technology in manufacturing lies in using it to augment and complement human capabilities.<\/p>\n\n\n\n<p>To make this relationship work in practice, careful thought is needed. For example, the organization must systematically determine which tasks can be safely assigned to robots and which should continue to be controlled by humans. Employees will need to be upskilled to work with robotic systems.<\/p>\n\n\n\n<p>Most crucial and most challenging of all, it will be vital to secure the workforce\u2019s trust in the technologies they are expected to work with. Implementing more transparent technologies such as LNNs has a vital part to play here, along with realism about what robots can and cannot do \u2013 and honest discussion about the impact of automation on employment prospects.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-collaborate-with-ecosystem-partners-to-secure-the-skills-and-assets-needed\">Collaborate with ecosystem partners to secure the skills and assets needed<\/h4>\n\n\n\n<p>In such a fast-moving field, building relationships with leading players is often the most reliable and cost-effective way to ensure ongoing access to the latest thinking and tools.<\/p>\n\n\n\n<p>Complementing a strong team of in-house robotics experts, our own Capgemini AI Robotics and Experiences Lab works with partners such as Nvidia, Unity, Dassault Syst\u00e8mes, Siemens, Microsoft, Google Cloud, and AWS. We also partner with specialist innovators such as <a href=\"https:\/\/www.capgemini.com\/capgemini-and-liquid-ai\/\">Liquid AI<\/a>.<\/p>\n\n\n\n<p>This range of internal and external capabilities enables us to offer our clients roadmaps and prototypes that are both innovative and realistic.<\/p>\n\n\n\n<p>Capgemini, robotics, and intelligent manufacturing for automotive<\/p>\n\n\n\n<p>Robotics is an integral part of <a href=\"https:\/\/www.capgemini.com\/solutions\/intelligent-manufacturing-services-for-automotive\/\"><strong>Intelligent Manufacturing Services for Automotive by Capgemini<\/strong><\/a>. Our automotive manufacturing team collaborates closely with our specialist robotics lab, and draws on knowledge and expertise from across our multi-industry practice. Here\u2019s <a href=\"https:\/\/www.capgemini.com\/news\/press-releases\/capgemini-and-orano-deploy-the-first-intelligent-humanoid-robot-in-the-nuclear-sector\/\">one of our latest announcements<\/a> in this area.<\/p>\n\n\n\n<p>The table below summarizes our approach to supporting clients\u2019 journeys from industrial automation to physical AI.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-border-color has-cyan-bluish-gray-border-color has-fixed-layout\" style=\"border-width:7px\"><tbody><tr><td><strong>Challenge<\/strong> <strong>&nbsp;<\/strong><\/td><td><strong>Engineering costs and time to operation<\/strong> <strong>&nbsp;<\/strong><\/td><td><strong>Exploiting physical AI<\/strong> <strong>&nbsp;<\/strong> <strong>&nbsp;<\/strong><\/td><td><strong>Integration into the ecosystem<\/strong> <strong>&nbsp;<\/strong><\/td><\/tr><tr><td><strong>Drivers of the challenge<\/strong> <strong>&nbsp;<\/strong><\/td><td>\u2022 Diversity of hardware ecosystem <br>\u2022 Low level of reusability of solutions <br>\u2022 Hardware-dependent solution development <br>\u2022 High amount of manual coding<br>\u2022 Rework during commissioning<br>\u2022 High maintenance costs &nbsp;<\/td><td>\u2022 Limited hardware and software in legacy automated systems<br>\u2022 Need for low latency for mission-critical operations<br>\u2022 Massive AI algorithms to control operations<br>\u2022 Lack of environment awareness in legacy automated systems &nbsp;<\/td><td>\u2022 Diversity of hardware ecosystem \u2022 Need for low latency for mission-critical operations<br>\u2022 Different data formats for integration of different IT\/OT platforms<br>\u2022 Massive AI algorithms to control operations &nbsp;<\/td><\/tr><tr><td><strong>Our approach<\/strong> <strong>&nbsp;<\/strong><\/td><td>Modular Platform for Automation Engineering (URC) &nbsp;<\/td><td>Edge AI Robotics Suite &nbsp;<\/td><td>Hybrid Edge to Cloud Platform, Architecture, and Assets &nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Please contact us to find out how we can help your automotive company leverage advanced AI-enabled robotics technology and techniques across its manufacturing operations.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n\t\t<section\n\t\t\tclass=\"section section--lifeatcap-learning section--event-slider-careerInvent \">\n\n\t\t\t<div class=\"container\">\n\t\t\t\t<div class='career-invent-header'>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t<div class=\"slider slider-fader fd2ff661-08a4-4391-b6ff-af605bd6df94\">\n\t\t\t\t\t\t\t\t<div\n\t\t\t\t\tclass=\"slider-list \">\n\t\t\t\t\t\t\t\t\t\t\t<div\n\t\t\t\t\t\t\tclass=\"slide active \">\n\t\t\t\t\t\t\t<div\n\t\t\t\t\t\t\t\tclass=\"slide-bg-wrapper wp-block-cg-blocks-career-invent \">\n\t\t\t\t\t\t\t\t<div class=\"bgImagesection\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"bgColor\"><\/div>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div 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class=\"explore-header\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata-maxlength=\"68\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttitle=\"Intelligent Manufacturing Services for Automotive\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tIntelligent Manufacturing Services for Automotive\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"bgColor\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"brand-logo-wrapper smallDevice\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"btnDiv\"> <a class=\"more2\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata-maxlength=\"24\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\taria-label=\"Explore more about Intelligent Manufacturing Services for 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\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<source\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tsrcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2025\/11\/Automotive_intelligent_manufacturing_WB.jpg?w=400&amp;quality=90 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2025\/11\/Automotive_intelligent_manufacturing_WB.jpg?w=800&amp;quality=90 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 0)\" \/>\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" class=\"box-img\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2025\/11\/Automotive_intelligent_manufacturing_WB.jpg\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tstyle=\"object-position: 50% 50%; object-fit: cover;\" alt=\"\" \/>\n\n\t\t\t\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\t\t\t\t\t\t\t\t<!-- <img decoding=\"async\" class=\"box-img\" src=\"\"\n\t\t\t\t\t\t\t\t\t\t\tstyle=\"\" alt=\"\"\n\t\t\t\t\t\t\t\t\t\t\/> -->\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"\">\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"slide-reveal\"><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t<\/section>\n\n\t\t\n\n\n<section class=\" section section--expert-slider wrapper-people-slider wp-block-cg-blocks-wrapper-people-slider\"><div class=\"container\"><div class=\"row\"><div class=\"content-title col-12 col-md-8\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Authors<\/h2><\/div><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\n\n<\/div><\/div><\/div><div class=\"slider-nav\"><button class=\"slider-prev inactive\" aria-label=\"Slider-previous\" tabindex=\"-1\"><\/button><ul class=\"slider-paginator\"><\/ul><button class=\"slider-next\" aria-label=\"Slider-next\"><\/button><\/div><\/div><\/section>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-blocks-faq-schema\"><section class=\"undefined section section--faqs-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-8\"><div class=\"content-title\"><h2>FAQs:<\/h2><\/div><\/div><\/div><div class=\"filters filters--vertical\" data-max=\"100\"><div class=\"expanders filters-content\"><div class=\"row\"><div class=\"col-12 col-md-8\"><div class=\"expander-box filter-box tag-active \" data-filter=\"\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>What is physical AI in automotive manufacturing?<\/h3><\/div><div class=\"expander-content\"><p>Physical AI combines robotics with AI, enabling machines to perceive, understand, and interact with the physical world.<\/p><\/div><\/div><\/div><\/div><div class=\"row\"><div class=\"col-12 col-md-8\"><div class=\"expander-box filter-box tag-active \" data-filter=\"\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>How does AI improve robotics in OEM operations?<\/h3><\/div><div class=\"expander-content\"><p>AI-driven vision systems detect defects, optimize assembly, and enable adaptive processes for quality control.<\/p><\/div><\/div><\/div><\/div><div class=\"row\"><div class=\"col-12 col-md-8\"><div class=\"expander-box filter-box tag-active \" data-filter=\"\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>What are cobots and why are they important?<\/h3><\/div><div class=\"expander-content\"><p>Cobots are collaborative robots that work alongside humans, handling repetitive and high-precision tasks safely.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Explore how robotics, agentic AI, and liquid neural networks are revolutionizing automotive production. Discover the future of intelligent manufacturing now.<\/p>\n","protected":false},"author":371,"featured_media":535038,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"662","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[],"brand":[60],"service":[],"industry":[17],"partners":[],"blog-topic":[83,384],"content-group":[],"class_list":["post-535037","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","brand-capgemini","industry-automotive","blog-topic-data-and-ai","blog-topic-mobility"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Driving intelligent automotive manufacturing: How robotics and AI are transforming OEM operations - Capgemini Portugal<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/driving-intelligent-automotive-manufacturing-how-robotics-and-ai-are-transforming-oem-operations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Driving intelligent automotive manufacturing: How robotics and AI are transforming OEM operations - Capgemini Portugal\" \/>\n<meta property=\"og:description\" content=\"Explore how robotics, agentic AI, and liquid neural networks are revolutionizing automotive production. 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