{"id":105395,"date":"2020-04-14T20:24:53","date_gmt":"2020-04-15T03:24:53","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/04\/teaching-the-icub-robot-to-express-basic-human-emotions"},"modified":"2020-04-14T20:24:53","modified_gmt":"2020-04-15T03:24:53","slug":"teaching-the-icub-robot-to-express-basic-human-emotions","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/04\/teaching-the-icub-robot-to-express-basic-human-emotions","title":{"rendered":"Teaching the iCub robot to express basic human emotions"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/teaching-the-icub-robot-to-express-basic-human-emotions2.jpg\"><\/a><\/p>\n<p>As robots make their way into a variety of environments and start interacting with humans on a regular basis, they should be able to communicate with users as effectively as possible. Over the past decade or so, researchers worldwide have thus been developing machine learning-based models and other computational techniques that could enhance human-robot communications.<\/p>\n<p>One way to improve how robots communicate with human users is by training them to express <a href=\"https:\/\/techxplore.com\/tags\/basic+emotions\/\" rel=\"tag\" class=\"\">basic emotions<\/a>, such as sadness, happiness, fear and anger. The ability to express emotions would ultimately allow robots to convey messages more effectively, in ways that are aligned with a given situation.<\/p>\n<p>Researchers at the University of Hamburg in Germany have recently developed a machine learning-based method to teach robots how to convey what have previously been defined as the seven universal emotions, namely anger, disgust, fear, happiness, sadness, surprise and a neutral state. In their paper, <a href=\"https:\/\/arxiv.org\/abs\/2003.13483\">pre-published on arXiv<\/a>, they applied and tested their technique on a humanoid <a href=\"https:\/\/techxplore.com\/tags\/robot\/\" rel=\"tag\" class=\"\">robot<\/a> called <a href=\"http:\/\/www.icub.org\/\">iCub<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As robots make their way into a variety of environments and start interacting with humans on a regular basis, they should be able to communicate with users as effectively as possible. Over the past decade or so, researchers worldwide have thus been developing machine learning-based models and other computational techniques that could enhance human-robot communications. [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-105395","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/105395","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=105395"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/105395\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=105395"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=105395"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=105395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}