{"id":21126,"date":"2025-10-15T14:43:34","date_gmt":"2025-10-15T14:43:34","guid":{"rendered":"https:\/\/www.ghostysky.com\/?post_type=product&#038;p=21126"},"modified":"2026-01-10T09:34:32","modified_gmt":"2026-01-10T09:34:32","slug":"agilex-limo-ros2-intel-nuc","status":"publish","type":"product","link":"https:\/\/www.ghostysky.com\/fr\/product\/agilex-limo-ros2-intel-nuc\/","title":{"rendered":"Agilex LIMO ROS2 (Intel NUC)"},"content":{"rendered":"<h3>Principales caract\u00e9ristiques et sp\u00e9cifications<\/h3>\n<h4>Calcul haute performance<\/h4>\n<ul>\n<li><b>Processeur:<\/b><span class=\"citation-543\"> Equip\u00e9 d&#039;un <\/span><b><span class=\"citation-543\">Intel NUC i7<\/span><\/b><span class=\"citation-543\"> PC industriel, offrant des capacit\u00e9s de calcul extr\u00eamement puissantes pour une stabilit\u00e9 <\/span><b><span class=\"citation-543\">fusion de donn\u00e9es multi-capteurs<\/span><\/b><span class=\"citation-543\"> et complexe <\/span><b><span class=\"citation-543\">SLAM (localisation et cartographie simultan\u00e9es)<\/span><\/b><span class=\"citation-543 citation-end-543\"> algorithmes.<\/span><\/li>\n<li><b><span class=\"citation-542\">Syst\u00e8me op\u00e9rateur:<\/span><\/b><span class=\"citation-542\"> Courses <\/span><b><span class=\"citation-542\">ROS 2 Humble<\/span><\/b><span class=\"citation-542\"> sur <\/span><b><span class=\"citation-542\">Ubuntu 22.04<\/span><\/b><span class=\"citation-542\">, offrant un acc\u00e8s complet aux derni\u00e8res biblioth\u00e8ques et frameworks open source, y compris <\/span><b><span class=\"citation-542\">Navigation2<\/span><\/b><span class=\"citation-542\"> pour la navigation des robots mobiles et <\/span><b><span class=\"citation-542\">MoveIt2<\/span><\/b><span class=\"citation-542 citation-end-542\"> pour la planification avanc\u00e9e des mouvements du bras robotique.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h4>D\u00e9tection et navigation pr\u00e9cises<\/h4>\n<ul>\n<li><b><span class=\"citation-541\">LiDAR :<\/span><\/b><span class=\"citation-541\"> Comprend un <\/span><b><span class=\"citation-541\">LiDAR EAI T-mini Pro<\/span><\/b><span class=\"citation-541\"> pour <\/span><b><span class=\"citation-541\">Balayage environnemental \u00e0 360\u00b0<\/span><\/b><span class=\"citation-541 citation-end-541\"> pour permettre une cartographie de haute pr\u00e9cision et un \u00e9vitement dynamique des obstacles.<\/span><\/li>\n<li><b><span class=\"citation-540\">Cam\u00e9ra de profondeur :<\/span><\/b><span class=\"citation-540\"> Comprend un <\/span><b><span class=\"citation-540\">Cam\u00e9ra de profondeur Orbbec Dabai<\/span><\/b><span class=\"citation-540 citation-end-540\"> (RGB-D) pour une mesure pr\u00e9cise de la distance et une perception environnementale am\u00e9lior\u00e9e.<\/span><\/li>\n<li><b>Afficher:<\/b><span class=\"citation-539\"> Int\u00e9gr\u00e9 <\/span><b><span class=\"citation-539\">\u00e9cran tactile de 7 pouces<\/span><\/b><span class=\"citation-539 citation-end-539\"> pour une configuration et un contr\u00f4le intuitifs.<\/span><\/li>\n<li><b><span class=\"citation-538\">Unit\u00e9 de mesure inertielle :<\/span><\/b><span class=\"citation-538 citation-end-538\"> Comprend une unit\u00e9 de mesure inertielle pour une d\u00e9tection fiable de l&#039;attitude et du mouvement.<\/span>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<\/li>\n<\/ul>\n<h4>Mobilit\u00e9 et design polyvalents<\/h4>\n<ul>\n<li><b>Pilotage multimodal :<\/b><span class=\"citation-537\"> La plateforme mobile LIMO est hautement adaptable et prend en charge <\/span><b><span class=\"citation-537\">quatre modes de direction<\/span><\/b><span class=\"citation-537 citation-end-537\"> avec roues interchangeables : direction omnidirectionnelle, direction \u00e0 chenilles, direction diff\u00e9rentielle \u00e0 quatre roues et direction Ackermann.<\/span><\/li>\n<li><b>Charge utile et vitesse :<\/b><span class=\"citation-536\"> Prend en charge un <\/span><b><span class=\"citation-536\">charge utile de 4 kg<\/span><\/b><span class=\"citation-536\"> et peut atteindre une vitesse d&#039;avancement maximale de <\/span><b><span class=\"citation-536\">1 m\/s<\/span><\/b><span class=\"citation-536 citation-end-536\">.<\/span><\/li>\n<li><b>Batterie:<\/b><span class=\"citation-535\"> \u00c9tendu <\/span><b><span class=\"citation-535\">Batterie de 10 000 mAh<\/span><\/b><span class=\"citation-535\"> fournit jusqu&#039;\u00e0 <\/span><b><span class=\"citation-535\">2,5 heures de fonctionnement continu<\/span><\/b><span class=\"citation-535 citation-end-535\">.<\/span><\/li>\n<li><b><span class=\"citation-534\">Durabilit\u00e9:<\/span><\/b><span class=\"citation-534 citation-end-534\"> Dispose d&#039;un ch\u00e2ssis robuste en plaque d&#039;aluminium avec rev\u00eatement en poudre.<\/span><\/li>\n<li><b><span class=\"citation-533\">Taille compacte :<\/span><\/b><span class=\"citation-533 citation-end-533\"> Les dimensions sont approximatives <\/span><b><span class=\"math-inline\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord\">322<\/span><span class=\"mbin\">\u00d7<\/span><\/span><span class=\"base\"><span class=\"mord\">220<\/span><span class=\"mbin\">\u00d7<\/span><\/span><span class=\"base\"><span class=\"mord\">251<\/span><span class=\"mord text\"><span class=\"mord\">mm<\/span><\/span><\/span><\/span><\/span><\/span><\/b><span class=\"citation-532 citation-end-532\">, ce qui le rend adapt\u00e9 aux environnements de laboratoire int\u00e9rieurs.<\/span>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<\/li>\n<\/ul>\n<hr \/>\n<p>&nbsp;<\/p>\n<h3>Applications id\u00e9ales<\/h3>\n<p>Le LIMO ROS2 (Intel NUC) est une plateforme id\u00e9ale pour :<\/p>\n<ul>\n<li><b><span class=\"citation-531\">\u00c9ducation en robotique :<\/span><\/b><span class=\"citation-531 citation-end-531\"> Faciliter l&#039;apprentissage pratique de ROS 2, des algorithmes de robots mobiles et du d\u00e9veloppement de l&#039;IA pour les \u00e9tudiants et les enseignants.<\/span><\/li>\n<li><b>Recherche et d\u00e9veloppement (R&amp;D) :<\/b><span class=\"citation-530\"> Servir de plate-forme \u00e9volutive et flexible pour le d\u00e9veloppement et le test d&#039;applications avanc\u00e9es telles que <\/span><b><span class=\"citation-530\">navigation autonome<\/span><\/b><span class=\"citation-530 citation-end-530\">, collaboration multi-robots (contr\u00f4le d&#039;essaim), d\u00e9tection d&#039;objets et reconnaissance visuelle.<\/span><\/li>\n<li><b>Prototypage:<\/b> Fournir un outil de d\u00e9veloppement rapide et efficace pour les projets de preuve de concept dans la conduite autonome et les v\u00e9hicules terrestres sans pilote (UGV).<\/li>\n<\/ul>\n<p><span class=\"citation-529\">Le <\/span><b><span class=\"citation-529\">Agilex LIMO ROS2 (Intel NUC)<\/span><\/b><span class=\"citation-529\"> est enti\u00e8rement pris en charge par <\/span><b><span class=\"citation-529\">paquets open source<\/span><\/b><span class=\"citation-529 citation-end-529\"> et est compatible avec les langages de programmation courants comme Python et C++, ce qui en fait l&#039;outil ultime pour les d\u00e9veloppeurs pour \u00e9tendre et d\u00e9ployer leurs applications robotiques.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p><span class=\"\">Le <\/span><b class=\"\">Agilex LIMO ROS2 (Intel NUC)<\/b><span class=\"\"> est un outil polyvalent et puissant <\/span><b class=\"\">Robot mobile autonome (AMR)<\/b><span class=\"\"> plateforme sp\u00e9cialement con\u00e7ue pour <\/span><b class=\"\">recherche, \u00e9ducation et d\u00e9veloppement en robotique<\/b><span class=\"\"> dans le domaine des syst\u00e8mes autonomes.<\/span><span class=\"\"> Dot\u00e9 d&#039;une unit\u00e9 de calcul avanc\u00e9e et d&#039;une suite compl\u00e8te de capteurs,<\/span><span class=\"\"> ce robot open source est un outil robuste pour explorer les applications ROS 2 de pointe.<\/span><\/p>","protected":false},"featured_media":21129,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[1046],"product_cat":[1044,1042,1037],"product_tag":[1047,1066,1067,1069],"class_list":{"0":"post-21126","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_brand-agilex","7":"product_cat-agilex-robots","8":"product_cat-chassis","9":"product_cat-robotics","10":"product_tag-agilex","11":"product_tag-agilex-limo","12":"product_tag-agilex-limo-education","13":"product_tag-agilex-limo-ros2","15":"first","16":"onbackorder","17":"taxable","18":"shipping-taxable","19":"purchasable","20":"product-type-simple"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Agilex LIMO ROS2 (Intel NUC) - Ghostysky<\/title>\n<meta name=\"description\" content=\"The Agilex 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