{"id":83278,"date":"2018-10-04T07:02:58","date_gmt":"2018-10-04T14:02:58","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2018\/10\/robot-masters-human-balancing-act"},"modified":"2018-10-07T17:09:32","modified_gmt":"2018-10-08T00:09:32","slug":"robot-masters-human-balancing-act","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2018\/10\/robot-masters-human-balancing-act","title":{"rendered":"Robot masters human balancing act"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/robot-masters-human-balancing-act2.jpg\"><\/a><\/p>\n<p>By translating a key human physical dynamic skill \u2014 maintaining whole-body balance \u2014 into a mathematical equation, the team was able to use the numerical formula to program their robot Mercury, which was built and tested over the course of six years. They calculated the margin of error necessary for the average person to lose one\u2019s balance and fall when walking to be a simple figure \u2014 2 centimeters.<\/p>\n<p>\u201cEssentially, we have developed a technique to teach autonomous robots how to maintain balance even when they are hit unexpectedly, or a force is applied without warning,\u201d Sentis said. \u201cThis is a particularly valuable skill we as humans frequently use when navigating through large crowds.\u201d<\/p>\n<p>Sentis said their technique has been successful in dynamically balancing both bipeds without ankle control and full humanoid robots.<\/p>\n<p><!-- Link: <a href=\"https:\/\/www.sciencedaily.com\/releases\/2018\/10\/181002103046.htm\">https:\/\/www.sciencedaily.com\/releases\/2018\/10\/181002103046.htm<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>By translating a key human physical dynamic skill \u2014 maintaining whole-body balance \u2014 into a mathematical equation, the team was able to use the numerical formula to program their robot Mercury, which was built and tested over the course of six years. They calculated the margin of error necessary for the average person to lose [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,2229,6,8],"tags":[],"class_list":["post-83278","post","type-post","status-publish","format-standard","hentry","category-information-science","category-mathematics","category-robotics-ai","category-space"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/83278","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\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=83278"}],"version-history":[{"count":1,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/83278\/revisions"}],"predecessor-version":[{"id":83444,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/83278\/revisions\/83444"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=83278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=83278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=83278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}