{"id":35848,"date":"2017-04-03T09:04:02","date_gmt":"2017-04-03T16:04:02","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2017\/04\/spam-detection-in-the-physical-world"},"modified":"2017-06-04T07:06:36","modified_gmt":"2017-06-04T14:06:36","slug":"spam-detection-in-the-physical-world","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2017\/04\/spam-detection-in-the-physical-world","title":{"rendered":"Spam detection in the physical world"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/k21Wtjp074c?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>We\u2019ve created the world\u2019s first Spam-detecting AI trained <a href=\"https:\/\/arxiv.org\/abs\/1703.06907\">entirely in simulation<\/a> and deployed on a physical robot.<\/p>\n<p style=\"padding-right: 20px\"><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/lifeboat.com\/blog.images\/spam-detection-in-the-physical-world.gif\" alt=\"\" \/><\/p>\n<p> <em>Our vision system successfully flagging a can of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Spam_(food)\">Spam<\/a> for removal. The vision system is trained entirely in simulation, while the movement policy for grasping and removing the Spam is hard-coded. Our detector is able to avoid other objects, including healthy ones such as fruit and vegetables, which it never saw during training.<\/em><\/p>\n<p>Deep learning-driven robotic systems are bottlenecked by data collection: it\u2019s extremely costly to obtain the hundreds of thousands of images needed to train the perception system alone. It\u2019s cheap to generate simulated data, but simulations diverge enough from reality that people typically retrain models from scratch when moving to the physical world.<\/p>\n<p><!-- Link: <a href=\"https:\/\/blog.openai.com\/spam-detection-in-the-physical-world\/\">https:\/\/blog.openai.com\/spam-detection-in-the-physical-world\/<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019ve created the world\u2019s first Spam-detecting AI trained entirely in simulation and deployed on a physical robot. Our vision system successfully flagging a can of Spam for removal. The vision system is trained entirely in simulation, while the movement policy for grasping and removing the Spam is hard-coded. Our detector is able to avoid other [\u2026]<\/p>\n","protected":false},"author":423,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34,1506,31,6],"tags":[],"class_list":["post-35848","post","type-post","status-publish","format-standard","hentry","category-cybercrime-malcode","category-food","category-policy","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/35848","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\/423"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=35848"}],"version-history":[{"count":2,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/35848\/revisions"}],"predecessor-version":[{"id":58204,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/35848\/revisions\/58204"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=35848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=35848"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=35848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}