{"id":7557,"date":"2024-07-15T12:12:16","date_gmt":"2024-07-15T10:12:16","guid":{"rendered":"https:\/\/niryo.com\/?p=7557"},"modified":"2024-07-18T10:53:22","modified_gmt":"2024-07-18T08:53:22","slug":"comment-matlab-peut-etre-utilisee-robotique","status":"publish","type":"post","link":"https:\/\/niryo.com\/fr\/comment-matlab-peut-etre-utilisee-robotique\/","title":{"rendered":"Comment MATLAB peut-elle \u00eatre utilis\u00e9e en robotique ?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Vous \u00eates passionn\u00e9 par les <strong>math\u00e9matiques, la programmation, l&rsquo;intelligence artificielle et la robotique<\/strong> ? Cet article est fait pour vous !<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Vous avez certainement entendu parler de MATLAB, la plateforme de programmation et de calcul num\u00e9rique de haut niveau.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pendant que vous lisez ces lignes, des millions d&rsquo;ing\u00e9nieurs et de scientifiques utilisent MATLAB pour <strong>analyser des donn\u00e9es, d\u00e9velopper des algorithmes et cr\u00e9er des mod\u00e8les.<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dans cet article, nous allons explorer d&rsquo;autres fa\u00e7ons d&rsquo;utiliser MATLAB \u00e0 des <strong>fins \u00e9ducatives dans le domaine de l&rsquo;ing\u00e9nierie,<\/strong> plus particuli\u00e8rement les robots collaboratifs (aussi appel\u00e9s cobots).<\/span><\/p>\n<ol>\n<li><b> Simulation<\/b><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Aujourd&rsquo;hui, MATLAB est consid\u00e9r\u00e9 comme une excellente plateforme pour simuler le comportement des<strong> robots collaboratifs.<\/strong> Gr\u00e2ce \u00e0 la <\/span><strong><a href=\"https:\/\/mathworks.com\/products\/robotics.html\">Robotics System Toolbox<\/a><\/strong><span style=\"font-weight: 400;\"><strong>,<\/strong> les professeurs et les \u00e9tudiants peuvent non seulement cr\u00e9er des robots virtuels, mais aussi simuler leurs interactions avec leur environnement et leur <strong>espace de travail partag\u00e9.<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Si vous souhaitez en savoir plus sur les principes de base de la robotique et acqu\u00e9rir de l&rsquo;exp\u00e9rience en programmation et contr\u00f4le des robots, MATLAB vous aidera \u00e0 exp\u00e9rimenter <strong>diff\u00e9rents<\/strong> <strong>algorithmes de contr\u00f4le, \u00e0 tester diff\u00e9rents sc\u00e9narios et \u00e0 analyser les donn\u00e9es g\u00e9n\u00e9r\u00e9es par la simulation.<\/strong><\/span><\/p>\n<ol start=\"2\">\n<li><b> Contr\u00f4le<\/b><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Outre la simulation, MATLAB fournit une large gamme d&rsquo;outils pour contr\u00f4ler les syst\u00e8mes robotiques, y compris les bras robotis\u00e9s.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">L\u00e0 encore, \u00e0 l&rsquo;aide de la <strong>Robotics System Toolbox,<\/strong> les \u00e9tudiants peuvent :<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\"> D\u00e9velopper et optimiser les <strong>algorithmes de contr\u00f4le<\/strong> qui r\u00e9gissent les mouvements et les interactions avec l&rsquo;environnement.<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> Exp\u00e9rimenter avec diff\u00e9rents types de capteurs, tels que les <strong>capteurs de force, les capteurs de vision et les capteurs de proximit\u00e9.<\/strong><\/span><\/li>\n<li><span style=\"font-weight: 400;\"> Apprendre \u00e0 int\u00e9grer ces capteurs dans le <strong>syst\u00e8me de contr\u00f4le.<\/strong><\/span><\/li>\n<\/ul>\n<ol start=\"3\">\n<li><b> Conception<\/b><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Certaines <strong>universit\u00e9s<\/strong> utilisent MATLAB pour <strong>concevoir<\/strong> des syst\u00e8mes robotiques. L&rsquo;objectif est <strong>d&rsquo;optimiser les composants m\u00e9caniques et \u00e9lectriques du robot.<\/strong> Les \u00e9tudiants peuvent utiliser la Robotics System Toolbox pour concevoir et optimiser les composants m\u00e9caniques et \u00e9lectriques du robot. Ils peuvent \u00e9galement mettre en place des fonctionnalit\u00e9s avanc\u00e9es telles que le suivi de trajectoire ou l&rsquo;\u00e9valuation de la planification de mouvements alternatifs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Il est aussi possible de tester diff\u00e9rentes configurations cin\u00e9matiques, telles que les <strong>robots s\u00e9riels, parall\u00e8les et hybrides, <\/strong>et d\u2019apprendre \u00e0 concevoir des effecteurs et des pr\u00e9henseurs pour des t\u00e2ches sp\u00e9cifiques. La plateforme vous permet donc de g\u00e9n\u00e9rer le code du mod\u00e8le que vous avez cr\u00e9\u00e9 afin de l&rsquo;int\u00e9grer<strong> dans votre plateforme mat\u00e9rielle.<\/strong><\/span><\/p>\n<ol start=\"4\">\n<li><b> Analyse<\/b><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">MATLAB peut \u00e9galement vous aider \u00e0 <strong>analyser les donn\u00e9es g\u00e9n\u00e9r\u00e9es par votre robot.\u00a0<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cette fois, parmi toutes les bo\u00eetes \u00e0 outils MATLAB, nous utiliserons la <strong>bo\u00eete \u00e0 outils Data Analytics.<\/strong> Les professeurs peuvent enseigner l&rsquo;analyse et la visualisation des donn\u00e9es provenant de capteurs, tels que les capteurs de force et les capteurs de vision. Cela aidera les \u00e9tudiants \u00e0 mieux comprendre le comportement et les performances du robot.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">D&rsquo;autre part, vous pourrez apprendre \u00e0 <strong>utiliser des algorithmes d&rsquo;apprentissage automatique pour am\u00e9liorer les performances du robot et optimiser son syst\u00e8me de contr\u00f4le.<\/strong><\/span><\/p>\n<ol start=\"5\">\n<li><b> Intelligence artificielle<\/b><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Quand on parle de technologie, on parle certainement <strong>d&rsquo;intelligence<\/strong> <strong>artificielle<\/strong>. Sans surprise, MATLAB peut \u00eatre utilis\u00e9 pour <strong>mettre en \u0153uvre l&rsquo;intelligence artificielle dans la robotique en ex\u00e9cutant des t\u00e2ches.<\/strong> Cela inclut, sans s&rsquo;y limiter, la reconnaissance d&rsquo;objets, la planification de trajectoires, le contr\u00f4le de mouvements et le SLAM (Simultaneous Localization and Mapping, ou localisation et cartographie simultan\u00e9es).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En conclusion, que vous souhaitez apprendre la simulation, le contr\u00f4le des robots, la<strong> conception d&rsquo;un syst\u00e8me robotique<\/strong> ou m\u00eame l&rsquo;analyse de donn\u00e9es, <\/span><a href=\"https:\/\/mathworks.com\/\"><span style=\"font-weight: 400;\">MATLAB<\/span><\/a><span style=\"font-weight: 400;\"> est une excellente plateforme pour atteindre ces objectifs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Chez Niryo, nous testons et pratiquons avec MATLAB depuis un certain temps, afin de mieux comprendre le comportement et les performances de notre robot collaboratif : <strong>Ned2.<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">MATLAB s&rsquo;est av\u00e9r\u00e9 \u00eatre un compagnon d&rsquo;apprentissage robotique \u00e0 la fois amusant et gratifiant. Voici une vid\u00e9o dans laquelle vous pouvez apprendre \u00e0 choisir et \u00e0 placer en utilisant \u00e0 la fois Matlab et Ned2. <strong>Profitez \u00e9galement de notre documentation MATLAB !<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"Movement Control of Ned and Ned2 with Matlab!\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/sJdT9oaQM5k?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/niryo.com\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Vous \u00eates passionn\u00e9 par les math\u00e9matiques, la programmation, l&rsquo;intelligence artificielle et la robotique ? Cet article est fait pour vous ! Vous avez certainement entendu parler de MATLAB, la plateforme de programmation et de calcul num\u00e9rique de haut niveau. Pendant que vous lisez ces lignes, des millions d&rsquo;ing\u00e9nieurs et de scientifiques utilisent MATLAB pour analyser [&hellip;]<\/p>\n","protected":false},"author":146,"featured_media":7558,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[80,81],"tags":[],"class_list":["post-7557","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-autour-de-la-robotique","category-apprendre-sur-la-robotique"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Comment MATLAB peut-il \u00eatre utilis\u00e9 en robotique ? -Niryo<\/title>\n<meta name=\"description\" content=\"Matlab est une plateforme de programmation et de calcul num\u00e9rique. 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