{"id":419,"date":"2016-07-14T17:13:00","date_gmt":"2016-07-14T20:13:00","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=419"},"modified":"2016-07-14T17:13:00","modified_gmt":"2016-07-14T20:13:00","slug":"vol6-no1-art4","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art4\/","title":{"rendered":"Concept Learning By Human Tutelage For Social Robots"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Concept Learning By Human Tutelage For Social Robots<\/p>\n<p><strong>Autores:<\/strong> Silva, Renato Ramos da; Policastro, Claudio Adriano; Zuliani, Giovana; Pizzolato, Ednaldo; Romero, Roseli Aparecida Francelin<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Learning by human tutelage means that a human being guides the attention of a robot or agent in order to teach it a given concept. This kind of learning is very important to developing a robotic architecture for social robots. Social robots are embodied agents that are part of a heterogeneous society of robots and humans. The use of a robotic architecture may strongly reduce the time and effort required to construct a social robot. Such architecture must have structures and mechanisms to allow perception and attention, to enable a social robot to realize the richness of the human behavior and of the environment, and to learn from social interactions. In this paper, a robotic architecture inspired on Behavior Analysis is presented with two different learning algorithms, learning by Contingency and by Economic TG, for controlling a robotic head. For interaction between human and head robotic, it has also been developed a multimodal interface. The multimodal interface employs mechanisms of face detection, pose estimation, object saliency and speech recognition. The experimental results show that the robotic head, with the proposed tutelage mechanism, is able to learn concepts about objects of the environment successfully.<\/p>\n<p><strong>Palavras-chave:<\/strong> <\/p>\n<p><strong>P\u00e1ginas:<\/strong> 24<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol6-no1-art4\">10.21528\/lmln-vol6-no1-art4<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol6-no1-art4.pdf\" ref=\"\">vol6-no1-art4.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol6-no1-art4.bib\" rel=\"\">vol6-no1-art4.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Concept Learning By Human Tutelage For Social Robots Autores: Silva, Renato Ramos da; Policastro, Claudio Adriano; Zuliani, Giovana; Pizzolato, Ednaldo; Romero, Roseli Aparecida Francelin Resumo: Learning by human tutelage means that a human being guides the attention of a <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art4\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":411,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-419","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Concept Learning By Human Tutelage For Social Robots - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art4\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Concept Learning By Human Tutelage For Social Robots - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Concept Learning By Human Tutelage For Social Robots Autores: Silva, Renato Ramos da; 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