{"id":193708,"date":"2026-03-02T13:31:55","date_gmt":"2026-03-02T12:31:55","guid":{"rendered":"https:\/\/eurecat.org\/?p=193708"},"modified":"2026-03-02T13:40:22","modified_gmt":"2026-03-02T12:40:22","slug":"eurecat-develops-a-robot-with-physical-artificial-intelligence-capable-of-learning-by-observing-people","status":"publish","type":"post","link":"https:\/\/eurecat.org\/en\/eurecat-develops-a-robot-with-physical-artificial-intelligence-capable-of-learning-by-observing-people\/","title":{"rendered":"Eurecat develops a robot with physical artificial intelligence capable of learning by observing people"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1424.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p>The <a href=\"https:\/\/eurecat.org\/home\/en\/\">Eurecat<\/a> technology centre has developed a new robotic system based on generative artificial intelligence applied to the physical world, capable of learning new tasks by observing how people perform them and executing them autonomously. At the Mobile World Congress, it is demonstrating how the system is trained to restock welcome products in a hotel room.<\/p>\n<p>The technology is based on a new vision\u2013language\u2013action artificial intelligence model which, unlike traditional systems based on fixed rules, can understand instructions in natural language, interpret the visual scene and directly generate the actions the robot must perform. This evolution marks the transition from digital artificial intelligence to physical artificial intelligence, where models interact directly with the real environment.<\/p>\n<p>At the Eurecat stand, the robot demonstrates this capability by restocking welcome products in a hotel room. Specifically, based on simple task instructions, the system analyses the environment, plans the movements and executes the action autonomously.<\/p>\n<p>\u201cWe are bringing artificial intelligence into the physical world with a technology applicable to various sectors such as healthcare, manufacturing or agriculture. Until now, large language models have revolutionised text generation, but the major challenge is to turn this into actions in the real world and to do so safely. This is what we call physical artificial intelligence,\u201d explains N\u00e9stor Garc\u00eda, head of Robotic Manipulation at Eurecat.<\/p>\n<p>\u201cRobots need real\u2011world data to learn, and this is much scarcer than digital data. At Eurecat, we are working to reduce this gap and make it possible for robots to learn with fewer data and in a more efficient way,\u201d he highlights.<\/p>\n<p>Eurecat is committed to \u201cdemocratising robotic learning so that any small or medium\u2011sized company or professional can teach new tasks to a robot with few demonstrations, in an intuitive and, above all, safe way,\u201d details Mag\u00ed Dalmau, head of Cognitive Robotics at Eurecat, who notes that \u201cthis makes it possible to reduce reconfiguration time and accelerate the introduction of automation in multiple sectors to improve companies\u2019 competitiveness and productivity.\u201d<\/p>\n<p>The system integrates different technologies developed by Eurecat to address the challenges of robotics based on generative artificial intelligence, such as more efficient learning methods that require fewer data, techniques to use human videos as a training source, or hybrid strategies to ensure safe and reliable behaviour in real environments.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":193699,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[430,742,1422,743],"tags":[],"class_list":["post-193708","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-autonomous-professional-robotics","category-fires-en","category-mobile-world-congress-en","category-press-notes-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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