{"id":4734,"date":"2023-08-27T20:53:35","date_gmt":"2023-08-27T20:53:35","guid":{"rendered":"https:\/\/dailyai.com\/?p=4734"},"modified":"2023-08-27T21:10:25","modified_gmt":"2023-08-27T21:10:25","slug":"mit-researchers-develop-technique-to-enhance-robotic-object-manipulation","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/08\/mit-researchers-develop-technique-to-enhance-robotic-object-manipulation\/","title":{"rendered":"Des chercheurs du MIT mettent au point une technique permettant d'am\u00e9liorer la manipulation d'objets robotis\u00e9s"},"content":{"rendered":"<p><b>Des chercheurs du Massachusetts Institute of Technology (MIT) ont mis au point une technique d'IA con\u00e7ue pour permettre aux robots de manipuler des objets en utilisant leur corps tout entier.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">La manipulation d'objets \u00e0 l'aide de multiples points de contact sur diff\u00e9rentes parties du corps repr\u00e9sente un \u00e9norme d\u00e9fi pour les robots. L'homme excelle dans la manipulation de l'ensemble du corps, en portant sans difficult\u00e9 de grandes bo\u00eetes ou en tenant des objets irr\u00e9guliers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cependant, les robots sont beaucoup moins comp\u00e9tents dans les t\u00e2ches de manipulation complexes en raison des nombreux points de contact entre les objets et les diff\u00e9rentes parties de leur corps.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Plut\u00f4t que de consid\u00e9rer ce syst\u00e8me comme une \"bo\u00eete noire\", si nous pouvons exploiter la structure de ce type de syst\u00e8mes robotiques \u00e0 l'aide de mod\u00e8les, il est possible d'acc\u00e9l\u00e9rer l'ensemble de la proc\u00e9dure visant \u00e0 prendre ces d\u00e9cisions et \u00e0 \u00e9laborer des plans riches en contacts\", a d\u00e9clar\u00e9 H.J. Terry Suh, \u00e9tudiant dipl\u00f4m\u00e9 en g\u00e9nie \u00e9lectrique et en informatique (EECS) et co-auteur principal de l'article de recherche.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Les travaux des chercheurs du MIT portent essentiellement sur l'intensit\u00e9 et la complexit\u00e9 informatiques des t\u00e2ches de manipulation robotique, en particulier celles qui impliquent des sc\u00e9narios riches en contacts. Les robots doivent envisager d'innombrables possibilit\u00e9s de contact avec un objet lorsqu'ils planifient une t\u00e2che de manipulation, ce qui entra\u00eene un nombre intraitable de calculs.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Traditionnellement, les m\u00e9thodes d'apprentissage par renforcement (RL) ont \u00e9t\u00e9 d\u00e9ploy\u00e9es pour r\u00e9soudre ce probl\u00e8me, mais elles n\u00e9cessitent beaucoup de ressources informatiques et de temps.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Les <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10225433\">\u00e9tude<\/a> a introduit le \"lissage\" pour r\u00e9soudre ce probl\u00e8me. Le processus de \"lissage\" rationalise la charge de calcul en r\u00e9duisant le nombre d'\u00e9v\u00e9nements de contact que le robot doit prendre en compte. Il condense la myriade de points de contact potentiels en un ensemble g\u00e9rable de d\u00e9cisions cl\u00e9s.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Essentiellement, de nombreuses actions et contacts sans importance que le robot pourrait effectuer sont \u00e9limin\u00e9s, ne laissant que les points d'interaction vitaux qui doivent \u00eatre calcul\u00e9s.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pour mettre en \u0153uvre le \"lissage\", l'\u00e9quipe a con\u00e7u un mod\u00e8le bas\u00e9 sur la physique.\u00a0<\/span><span style=\"font-weight: 400;\">Ce mod\u00e8le reproduit efficacement le type d'\"\u00e9limination moyenne\" des interactions non critiques qui se produit implicitement dans les m\u00e9thodes d'apprentissage par renforcement. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">L'\u00e9quipe a test\u00e9 son approche \u00e0 la fois dans des simulations et dans du mat\u00e9riel robotique r\u00e9el, montrant des performances comparables \u00e0 celles de l'apprentissage par renforcement, mais \u00e0 une fraction du co\u00fbt de calcul.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Applications pratiques<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Les implications de cette recherche sont potentiellement consid\u00e9rables. Sur le plan industriel, la technique pourrait permettre l'utilisation de robots plus petits et plus mobiles, capables d'effectuer des t\u00e2ches complexes avec une plus grande flexibilit\u00e9.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Il pourrait en r\u00e9sulter une r\u00e9duction de la consommation d'\u00e9nergie et des co\u00fbts d'exploitation. Au-del\u00e0 des usines, cette technologie pourrait changer la donne pour les missions d'exploration spatiale, en permettant aux robots de s'adapter rapidement \u00e0 des terrains ou \u00e0 des t\u00e2ches impr\u00e9visibles avec un minimum de ressources informatiques.<\/span><\/p>\n<p>En outre, ces m\u00e9thodes informatiques pourraient aider les chercheurs \u00e0 construire des mains comp\u00e9tentes et r\u00e9alistes.<\/p>\n<p><span style=\"font-weight: 400;\">\"Les id\u00e9es qui permettent la manipulation de l'ensemble du corps fonctionnent \u00e9galement pour la planification avec des mains dextres, semblables \u00e0 celles de l'homme\", a d\u00e9clar\u00e9 Russ Tedrake, auteur principal et professeur Toyota d'EECS au MIT.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Alors que l'IA alimente les transformations dans le domaine de la robotique, dotant les robots de comp\u00e9tences et de connaissances de plus en plus pouss\u00e9es, nous n'avons encore rien construit qui soit dot\u00e9 d'une dext\u00e9rit\u00e9 biologique. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Le mat\u00e9riel d'IA est de plus en plus petit, <a href=\"https:\/\/dailyai.com\/fr\/2023\/08\/ex-google-researchers-establish-an-innovative-bio-inspired-ai-startup\/\">puces \u00e0 faible consommation d'\u00e9nergie<\/a> et que les chercheurs trouvent des moyens de r\u00e9soudre les probl\u00e8mes de calcul, les robots dextres, semblables \u00e0 des \u00eatres vivants, ne sont probablement pas loin.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Des chercheurs du Massachusetts Institute of Technology (MIT) ont mis au point une technique d'IA con\u00e7ue pour permettre aux robots de manipuler des objets en utilisant tout leur corps.  La manipulation d'objets \u00e0 l'aide de multiples points de contact sur diff\u00e9rentes parties du corps repr\u00e9sente un \u00e9norme d\u00e9fi pour les robots. Les humains excellent dans la manipulation de l'ensemble du corps, transportant sans probl\u00e8me de grandes bo\u00eetes ou tenant des objets irr\u00e9guliers.  En revanche, les robots sont beaucoup moins comp\u00e9tents dans les t\u00e2ches de manipulation complexes en raison des nombreux points de contact entre les objets et les diff\u00e9rentes parties de leur corps.  Plut\u00f4t que de consid\u00e9rer cela comme un syst\u00e8me \"bo\u00eete noire\", si nous pouvons tirer parti de la structure de ces types de syst\u00e8mes robotiques en utilisant les technologies de l'information et de la communication (TIC), nous serons en mesure d'en tirer profit.<\/p>","protected":false},"author":2,"featured_media":4735,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[105,117,169,130],"class_list":["post-4734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-machine-learning","tag-mit","tag-robotics","tag-robots"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MIT researchers develop technique to enhance robotic object manipulation | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers at the 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