{"id":27507,"date":"2026-11-12T07:40:42","date_gmt":"2026-11-12T06:40:42","guid":{"rendered":"https:\/\/kloepfel-consulting.com\/?p=27507"},"modified":"2026-11-12T07:40:42","modified_gmt":"2026-11-12T06:40:42","slug":"ki-attaque-les-robots-industriels","status":"publish","type":"post","link":"https:\/\/kloepfel-consulting.com\/fr\/supply-chain-news\/ki-trifft-industrieroboter-27507\/","title":{"rendered":"IA rencontre les robots industriels : le projet KARL \u00e0 l'Universit\u00e9 de Paderborn"},"content":{"rendered":"<h2>Durables et pratiques : comment les \u00e9tudiants apprennent \u00e0 utiliser des robots<\/h2>\n<p>Dans le cadre du projet \u201e KARL \u201c de l\u2019Universit\u00e9 de Paderborn, les \u00e9tudiants et les \u00e9quipes de recherche s\u2019activent eux-m\u00eames : ils ont remis en \u00e9tat deux robots industriels d\u00e9class\u00e9s au Heinz Nixdorf Institut. Ces machines servent d\u00e9sormais de sujets d\u2019essai, o\u00f9 les \u00e9tudiants peuvent exp\u00e9rimenter directement en pratique l\u2019intelligence artificielle moderne et les commandes intelligentes.<\/p>\n<h3>Faits cl\u00e9s en un coup d'\u0153il :<\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li>Le projet KARL signifie \u201e robot \u00e0 bras articul\u00e9 dans le cadre de la formation \u201c et combine une pratique durable du travail avec une formation moderne en IA.<\/li>\n<li>Mat\u00e9riel modernis\u00e9 : Un robot \u00e0 six axes de Kawasaki et un mod\u00e8le \u00e0 sept axes (Franka Emika Panda) ont \u00e9t\u00e9 remis \u00e0 neuf au laboratoire, rebranch\u00e9s et pr\u00eats \u00e0 \u00eatre utilis\u00e9s.<\/li>\n<li>Focus sur l\u2019apprentissage de l\u2019IA : l\u2019apprentissage par renforcement est utilis\u00e9 \u2013 une m\u00e9thode d\u2019apprentissage dans laquelle les robots apprennent progressivement gr\u00e2ce \u00e0 des r\u00e9compenses, en \u00e9vitant eux-m\u00eames les obstacles.<\/li>\n<li>Sc\u00e9narios pratiques : Les robots d\u00e9montrent d\u00e9j\u00e0 leur comp\u00e9tence lors de l\u2019\u00e9quilibrage d\u2019une boule et lors de la prise en main de composants sur des plateaux qui tournent.<\/li>\n<li>Directement dans le laboratoire : gr\u00e2ce \u00e0 des vid\u00e9os explicatives concises et \u00e0 des kits logiciels pr\u00e9\u00e9tablis, les \u00e9tudiants peuvent commencer leur travail au sein du d\u00e9partement de technologie de r\u00e9gulation et m\u00e9catronique (RtM) sans avoir \u00e0 suivre de longues formations.<\/li>\n<\/ul>\n<p>Comme le r\u00e9v\u00e8le le rapport de l\u2019universit\u00e9, les collaborateurs scientifiques et les assistants \u00e9tudiants ont enti\u00e8rement r\u00e9am\u00e9nag\u00e9 les machines inutilis\u00e9es du d\u00e9partement de technologie de r\u00e9gulation et m\u00e9catronique et les ont \u00e9quip\u00e9 de nouvelles capteurs. Au lieu d\u2019acheter de nouveaux appareils co\u00fbteux, l\u2019universit\u00e9 s\u2019appuie ainsi sur la r\u00e9utilisation \u2013 ce qui permet de pr\u00e9server les ressources tout en introduisant des technologies modernes dans le quotidien des \u00e9tudiants sans entraves.<\/p>\n<h3>Test pratique de l'apprentissage par renforcement<\/h3>\n<p>Selon Niklas Fittkau, un des collaborateurs du projet, l\u2019objectif du groupe \u00e9tait principalement de combiner des mod\u00e8les logiciels th\u00e9oriques \u00e0 une v\u00e9ritable infrastructure mat\u00e9rielle. Selon les participants, l\u2019apprentissage par renforcement joue un r\u00f4le central dans cette approche. Dans ce mode d\u2019apprentissage, la commande \u2013 comme chez un \u00eatre humain \u2013 apprend par l\u2019exp\u00e9rience. Gr\u00e2ce \u00e0 des capteurs, le syst\u00e8me re\u00e7oit des informations : si une manoeuvre se d\u00e9roule sans collision, il obtient ainsi des points bonus. De cette mani\u00e8re, le robot d\u00e9veloppe progressivement la meilleure trajectoire lui-m\u00eame.<\/p>\n<h3>R\u00e9paration et exemples concrets d'application<\/h3>\n<p>Pour les essais, les deux types de robots diff\u00e9rents ont \u00e9t\u00e9 remis \u00e0 niveau dans le laboratoire. Selon le communiqu\u00e9 de presse, l\u2019\u00e9quipe a d\u00e9velopp\u00e9 une interface de programmation sp\u00e9cifique pour le robot Kawasaki afin de pouvoir l\u2019utiliser avec diff\u00e9rents logiciels. Avec le robot Panda, les \u00e9tudiants ont r\u00e9alis\u00e9 leurs propres travaux de fin d\u2019\u00e9tudes et ont montr\u00e9 ce qui est possible : la machine balance une boule de mani\u00e8re autonome et retire des \u00e9l\u00e9ments de deux plateaux rotatifs pour les d\u00e9poser pr\u00e9cis\u00e9ment \u00e0 leur nouveau positionnement.<\/p>\n<h3>Un avantage durable pour l\u2019enseignement universitaire<\/h3>\n<p>La publication de cette note de presse permet de rendre concr\u00e8tement applicable le contenu th\u00e9orique des cours. L\u2019\u00e9quipe a r\u00e9dig\u00e9 des manuels et a construit des environnements de test pr\u00eats \u00e0 \u00eatre int\u00e9gr\u00e9s d\u00e8s \u00e0 pr\u00e9sent dans les exercices. Fittkau souligne que les \u00e9tudiants ont eux-m\u00eames particip\u00e9 \u00e0 l\u2019ensemble du processus de d\u00e9veloppement, de la premi\u00e8re conception jusqu\u2019au programme final. Cela renforce la collaboration entre les diff\u00e9rents d\u00e9partements et pr\u00e9pare les futures ing\u00e9nieurs \u00e0 travailler directement dans leur domaine professionnel.<\/p>","protected":false},"excerpt":{"rendered":"<p>Nachhaltig und praxisnah: Wie Studierende Robotern das Lernen beibringen Beim Projekt \u201eKARL\u201c der Universit\u00e4t Paderborn packen Studierende und Forschungsteams selbst an: Sie haben zwei ausgemusterte Industrieroboter am Heinz Nixdorf Institut wieder fit gemacht. Die Maschinen dienen ab sofort als Versuchsobjekte, an denen Studierende moderne K\u00fcnstliche Intelligenz und lernf\u00e4hige Steuerungen direkt in der Praxis ausprobieren k\u00f6nnen. [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":27508,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[88],"tags":[],"referenzkategorie":[],"class_list":["post-27507","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-supply-chain-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.8 (Yoast SEO v28.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>KI trifft Industrieroboter: KARL-Projekt an der Universit\u00e4t Paderborn | KLOEPFEL by EPSA<\/title>\n<meta name=\"description\" content=\"Beim Projekt \u201eKARL\u201c der Universit\u00e4t Paderborn packen Studierende und Forschungsteams selbst an: Sie haben zwei ausgemusterte Industrieroboter am Heinz Nixdorf Institut wieder fit gemacht.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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