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takes autonomous systems and Physical AI from prototype to reliable operation: devices, software, AI, and safety from one partner.\u003C\u002Fp>\n",{"id":218,"sharedMediaLegend":219,"mediaImage":220,"name":227},"173837",null,{"url":221,"width":222,"height":223,"alt":224,"title":219,"size":225,"mime":226,"variations":219},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fphysical-ai-%20prototype-%20measurable-value.jpeg",1280,854,"Business partners working with prototype of drive robotic car",116916,"image\u002Fjpeg","physical-ai- prototype- 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href=\"https:\u002F\u002Fwww.mckinsey.com\u002Ffeatured-insights\u002Fmckinsey-live\u002Fwebinars\u002Fphysical-ai-the-hidden-value-pools-leaders-are-missing\">McKinsey\u003C\u002Fa>\u003C\u002Fp>","content_list","in market potential the Physical AI ecosystem could unlock by 2035.",{"id":266,"icon":219,"link":219,"logo":219,"media":267,"text":283,"title":285},"36512",{"id":268,"sharedMediaLegend":219,"mediaImage":269,"name":282},"173841",{"url":270,"width":240,"height":241,"alt":271,"title":219,"size":272,"mime":244,"variations":219,"listItemVariations":273},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fautonome-susteme-4mio.png","4,28 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href=\"https:\u002F\u002Fifr.org\u002Fifr-press-releases\u002Fnews\u002Frecord-of-4-million-robots-working-in-factories-worldwide\">IFR\u003C\u002Fa>\u003C\u002Fp>","robots are at work in factories worldwide. The annual growth rate is around 10%.",{"id":287,"icon":219,"link":219,"logo":219,"media":288,"text":304,"title":306},"36513",{"id":289,"sharedMediaLegend":219,"mediaImage":290,"name":303},"173842",{"url":291,"width":240,"height":241,"alt":292,"title":219,"size":293,"mime":244,"variations":219,"listItemVariations":294},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fautonome-susteme-294.png","294",11446,[295,297,298,300,302],{"name":247,"url":296,"width":249,"height":250},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_1_small\u002Fpublic\u002Fimages\u002Fautonome-susteme-294.png.webp?itok=-PR95_2X",{"name":247,"url":296,"width":249,"height":250},{"name":253,"url":299,"width":255,"height":241},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_5_2_medium\u002Fpublic\u002Fimages\u002Fautonome-susteme-294.png.webp?itok=XFSZWshQ",{"name":257,"url":301,"width":255,"height":241},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_5_2_large\u002Fpublic\u002Fimages\u002Fautonome-susteme-294.png.webp?itok=-8P2ZIVy",{"name":257,"url":301,"width":255,"height":241},"autonome-susteme-294.png",{"value":305,"processed":305,"format":263},"\u003Cp>\u003Ca href=\"https:\u002F\u002Fifr.org\u002Fifr-press-releases\u002Fnews\u002Frobot-density-surges-in-europe-asia-and-americas\">IFR \u003C\u002Fa>\u003C\u002Fp>","robots per 10,000 employees. That puts Switzerland in the global top 10.","Now is the moment that decides who leads in autonomous systems.","media",{"__typename":310,"id":311,"caption":219,"imageRight":204,"pgSharedTitle":219,"pgSharedCtaLink":219,"textMedia":312,"pgSharedText":331},"ParagraphPgTextMedia","36515",{"id":313,"sharedMediaLegend":219,"mediaImage":314,"name":330},"173844",{"url":315,"width":316,"height":317,"alt":318,"title":219,"size":319,"mime":226,"variations":219,"textMediaVariations":320},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fengineers-laboratory-prototype_1.jpg",866,719,"Engineers in a modern laboratory discussing prototype",151609,[321,324,325,326,329],{"name":322,"url":323,"width":316,"height":317},"FIXED_WIDTH_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_small\u002Fpublic\u002Fimages\u002Fengineers-laboratory-prototype_1.jpg.webp?itok=07boTpkm",{"name":322,"url":323,"width":316,"height":317},{"name":322,"url":323,"width":316,"height":317},{"name":327,"url":328,"width":316,"height":317},"FIXED_WIDTH_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_medium\u002Fpublic\u002Fimages\u002Fengineers-laboratory-prototype_1.jpg.webp?itok=2W5F7_q5",{"name":327,"url":328,"width":316,"height":317},"engineers-laboratory-prototype.jpg",{"value":332,"processed":332,"format":333},"\u003Cp>\u003Cspan>Autonomous systems are advancing rapidly as different technologies come together: mature sensors, fast local signal processing, and powerful AI models.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan>The challenge lies less in the technology, and more in scaling. What works as a prototype has to work reliably in everyday operations too.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan>Whether you develop such systems or want to deploy them in your organisation, here you'll find perspectives, practical examples, and answers to your implementation questions. Find out what matters on the way to a scalable market and reliable operation of autonomous systems, and how Zühlke supports you along the way.\u003C\u002Fspan>\u003C\u002Fp>","full_html",{"__typename":335,"id":336,"title":337,"lead":219,"tabs":338},"ParagraphTab","36520","The two questions that decide autonomous systems",[339,347],{"infoText":340,"pgSharedParagraphs":341},"What environment does the system operate in?",[342],{"id":343,"ctaLink":219,"pgSharedText":344,"pgSharedTitle":340,"pgSharedCtaLink":219},"36516",{"value":345,"processed":346,"format":333},"\u003Cp>\u003Cspan>An autonomous system can only make decisions as well as it perceives and understands its environment. What works in a demo has to work in operations too. Real operating conditions show whether the prototype becomes a reliable product that delivers the value you expect.\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli data-list-item-id=\"e5b90053e57ad487a09d05df4fd7f2fd3\">\u003Cspan>Measure: cameras, lidar, and other sensors capture the environment. Sensor fusion merges their data into one reliable picture in real time, even in dust, backlight, or vibration.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli data-list-item-id=\"e4ec78868ec26012cc6ede5e6390ad278\">\u003Cspan>Understand and decide: A model interprets the data, reads the situation, and works out what to do next. What is there, what has changed, and which action makes sense and is permitted within the limits defined for the mission?\u003C\u002Fspan>\u003C\u002Fli>\u003Cli data-list-item-id=\"eb639ba260496f3d2f86570618a21ea28\">\u003Cspan>Act: The system turns those decisions into concrete actions. It needs to perform reliably even as requirements and conditions change, and stay within clearly defined limits.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli data-list-item-id=\"ea120ef700ad69dd05104b6e02fb60169\">\u003Cspan>Stay traceable: your team has to be able to check at any time when and why the system makes a decision. This is a decisive point for keeping the system safe, and it is also important for certification.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cspan>For manufacturers, the quality of perception decides whether the product succeeds. Our experts in optical systems, sensor fusion, and AI models strengthen development teams, or take on component development entirely.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan>Users should start right here when they compare suppliers. We advise vendor-neutrally on which sensor setup makes most sense in your particular production environment.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan>An autonomous system can only make decisions as well as it perceives and understands its environment. What works in a demo has to work in operations too. Real operating conditions show whether the prototype becomes a reliable product that delivers the value you expect.\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cspan>Measure: cameras, lidar, and other sensors capture the environment. Sensor fusion merges their data into one reliable picture in real time, even in dust, backlight, or vibration.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan>Understand and decide: A model interprets the data, reads the situation, and works out what to do next. What is there, what has changed, and which action makes sense and is permitted within the limits defined for the mission?\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan>Act: The system turns those decisions into concrete actions. It needs to perform reliably even as requirements and conditions change, and stay within clearly defined limits.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan>Stay traceable: your team has to be able to check at any time when and why the system makes a decision. This is a decisive point for keeping the system safe, and it is also important for certification.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cspan>For manufacturers, the quality of perception decides whether the product succeeds. Our experts in optical systems, sensor fusion, and AI models strengthen development teams, or take on component development entirely.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan>Users should start right here when they compare suppliers. We advise vendor-neutrally on which sensor setup makes most sense in your particular production environment.\u003C\u002Fspan>\u003C\u002Fp>",{"infoText":348,"pgSharedParagraphs":349},"How much autonomy should the system have?",[350],{"id":351,"ctaLink":219,"pgSharedText":352,"pgSharedTitle":355,"pgSharedCtaLink":219},"36518",{"value":353,"processed":354,"format":333},"\u003Cp>Not every system needs full autonomy. What matters is which tasks it handles on its own, and when a person needs to step in. The right level of autonomy depends not only on what’s technically possible, but also on where the system is used, the risks involved, regulatory requirements, and the economics. The aim is to strike the right balance between autonomy, operational value, and engineering effort. Three models describe the role people play in operations.\u003C\u002Fp>\u003Cul>\u003Cli data-list-item-id=\"e3aec77153f0abb121160c24ccc9d9cb0\">Human-in-the-loop: the system will make a suggestion and the person approves every action. That makes sense when mistakes are expensive or can't be undone.\u003C\u002Fli>\u003Cli data-list-item-id=\"e1fdd77512a6d38654afd4ff38642f62d\">Human-on-the-loop: the system acts, the person monitors and intervenes in exceptional cases. This way you can handle many processes without giving up human oversight.\u003C\u002Fli>\u003Cli data-list-item-id=\"edd6638c368ba0ecee3400c8f31889694\">Human-out-of-the-loop: the system acts independently within clear limits. People set the goals and the guard rails.\u003Cbr>Economics: you can only scale operations once one person monitors several systems rather than just one. The level of autonomy therefore determines your business case.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>We assess the use case, the risks, and the regulatory requirements with you. From that assessment we derive how independently a system may act, and where people need to stay involved. The goal is a system you can run responsibly and economically, and that also meets the requirements for certification.\u003Cbr> \u003C\u002Fp>","\u003Cp>Not every system needs full autonomy. What matters is which tasks it handles on its own, and when a person needs to step in. The right level of autonomy depends not only on what’s technically possible, but also on where the system is used, the risks involved, regulatory requirements, and the economics. The aim is to strike the right balance between autonomy, operational value, and engineering effort. Three models describe the role people play in operations.\u003C\u002Fp>\u003Cul>\u003Cli>Human-in-the-loop: the system will make a suggestion and the person approves every action. That makes sense when mistakes are expensive or can't be undone.\u003C\u002Fli>\u003Cli>Human-on-the-loop: the system acts, the person monitors and intervenes in exceptional cases. This way you can handle many processes without giving up human oversight.\u003C\u002Fli>\u003Cli>Human-out-of-the-loop: the system acts independently within clear limits. People set the goals and the guard rails.\u003Cbr>Economics: you can only scale operations once one person monitors several systems rather than just one. The level of autonomy therefore determines your business case.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>We assess the use case, the risks, and the regulatory requirements with you. From that assessment we derive how independently a system may act, and where people need to stay involved. The goal is a system you can run responsibly and economically, and that also meets the requirements for certification.\u003Cbr> \u003C\u002Fp>","How much autonomy should the system have, and where does it need a person to decide, be present, or supervise?",{"__typename":230,"id":357,"columns":358,"listItems":359,"text":396,"title":397,"variant":398},"36525","2col",[360,368,375,382,389],{"id":361,"icon":219,"link":362,"logo":219,"media":219,"text":365,"title":367},"36610",{"title":363,"url":364,"internal":7},"Read the blog post","\u002Fen\u002Finsights\u002Fphysical-ai-in-the-industrial-sector-from-automation-to-intelligent-action",{"value":366,"processed":366,"format":263},"\u003Cp>Traditional automation is reaching its limits. Read how sensors, edge AI, and autonomous actuators work together, and where Physical AI pays off in manufacturing, logistics, and quality assurance.\u003C\u002Fp>","Physical AI in the industrial sector: from automation to intelligent action",{"id":369,"icon":219,"link":370,"logo":219,"media":219,"text":372,"title":374},"36521",{"title":363,"url":371,"internal":7},"\u002Fen\u002Finsights\u002Fhow-development-changes-when-products-become-cyber-physical-systems",{"value":373,"processed":373,"format":263},"\u003Cp>Hardware, software, data, and AI have to work together from the start. Five priorities show what matters when you develop cyber-physical systems.\u003C\u002Fp>","When products become systems: new paths in development",{"id":376,"icon":219,"link":377,"logo":219,"media":219,"text":379,"title":381},"36522",{"title":363,"url":378,"internal":7},"\u002Fen\u002Finsights\u002Fmoving-from-hardware-to-systems-how-to-turn-legacy-knowledge-into-the-ultimate-competitive",{"value":380,"processed":380,"format":263},"\u003Cp>You know your products and how your customers work. Read how you can combine that knowledge with software and data and turn it into a competitive advantage.\u003C\u002Fp>","Connected systems: why your experience makes the difference",{"id":383,"icon":219,"link":384,"logo":219,"media":219,"text":386,"title":388},"36523",{"title":363,"url":385,"internal":7},"\u002Fen\u002Finsights\u002Fthe-industrial-transformation-towards-cyber-physical-systems",{"value":387,"processed":387,"format":263},"\u003Cp>More digital features don't make a better product. What really matters is the added value in the real world. Read what that means for your strategy, your organisation, and your culture.\u003C\u002Fp>","From product to system: why digital extras aren't enough",{"id":390,"icon":219,"link":391,"logo":219,"media":219,"text":393,"title":395},"36524",{"title":363,"url":392,"internal":7},"\u002Fen\u002Finsights\u002Fai-industry-value-chain",{"value":394,"processed":394,"format":263},"\u003Cp>Which tasks can AI take on in your organisation? Discover concrete use cases along the industrial value chain, and the value they create in practice.\u003C\u002Fp>","AI in industry: where it pays off","Whether you develop or deploy autonomous systems, our articles offer perspectives, practical know-how, and concrete answers for the journey from prototype to reliable operation.","Perspectives on autonomous systems","icon",{"__typename":400,"id":401,"primaryImage":402,"pgCtaLink":423,"text":426,"title":427,"eyebrow":428},"ParagraphPgContentHero","36526",{"id":403,"sharedMediaLegend":219,"mediaImage":404,"name":422},"173843",{"url":405,"width":406,"height":223,"alt":407,"title":219,"size":408,"mime":226,"variations":219,"heroVariations":409},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Findustrial-factory.jpeg",1279,"Industrial new factory & modern machines",247116,[410,414,415,418,421],{"name":411,"url":412,"width":240,"height":413},"FOCAL_POINT21_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_2_1_small\u002Fpublic\u002Fimages\u002Findustrial-factory.jpeg.webp?itok=ozX5ch84",400,{"name":411,"url":412,"width":240,"height":413},{"name":416,"url":417,"width":240,"height":240},"FOCAL_POINT11_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002Findustrial-factory.jpeg.webp?itok=13Em4Oni",{"name":419,"url":420,"width":223,"height":223},"FOCAL_POINT11_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_medium\u002Fpublic\u002Fimages\u002Findustrial-factory.jpeg.webp?itok=wbWNyi3p",{"name":419,"url":420,"width":223,"height":223},"industrial-factory.jpeg",{"title":424,"url":425,"internal":7},"Read the study","\u002Fen\u002Finsights\u002Findustrial-product-development-is-at-a-turning-point-where-do-legacy-companies-stand","Our benchmark with 55 industrial companies from the DACH region shows how far established companies really are, and what the front-runners do differently.","Where do you stand in industrial product development?","Benchmark study",{"__typename":430,"id":431,"lead":432,"sliderItems":433,"title":592},"ParagraphPgContentSlider","36534","From inspection robots and AI-driven plants to smart software: see how we've helped our clients take autonomous systems from prototype to reliable operation.",[434,474,503,533,563],{"id":435,"text":436,"imageConstruction":94,"pgSharedMedia":437,"link":470,"title":473},"36530","Real-time video images detect the fire position on the grate, and an AI model determines the adjustment needed. 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