{"id":9281,"date":"2023-08-16T13:45:33","date_gmt":"2023-08-16T20:45:33","guid":{"rendered":"https:\/\/mattfife.com\/?p=9281"},"modified":"2023-08-11T13:59:06","modified_gmt":"2023-08-11T20:59:06","slug":"packing-just-got-faster-and-easier","status":"publish","type":"post","link":"https:\/\/mattfife.com\/?p=9281","title":{"rendered":"Packing just got faster and easier"},"content":{"rendered":"\n<p><a href=\"https:\/\/news.mit.edu\/2023\/chore-packing-just-got-faster-and-easier-0706\" data-type=\"link\" data-id=\"https:\/\/news.mit.edu\/2023\/chore-packing-just-got-faster-and-easier-0706\">MIT has just developed a new computational method that can figure out how to arrange a dense placement of objects inside a rigid container<\/a> &#8211; while also guaranteeing that the objects are separable\/interlock free (can be taken out again without getting stuck on each other).<\/p>\n\n\n\n<p>The optimal way of positioning 3D objects of varied sizes and shapes in a container is still considered an unsolved problem. In fact, it is classified as NP-hard, which means it cannot be solved exactly \u2014 or even approximately, to a high degree of precision \u2014 without gargantuan computational times that could take years or decades depending on the number of pieces that need to be fit into a confined space.<\/p>\n\n\n\n<p>Researchers from MIT and Inkbit (an MIT spinout company in Medford, Massachusetts), headed by Wojciech Matusik, an MIT professor and Inkbit co-founder, is presenting\u00a0<a rel=\"noreferrer noopener\" href=\"http:\/\/inkbit3d.com\/packing\/\" target=\"_blank\">this technique<\/a>, which they call \u201c<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3592126\" data-type=\"link\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3592126\">Dense, interlocking-free and Scalable Spectral Packing<\/a>,\u201d or SSP, this August at SIGGRAPH 2023<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/news.mit.edu\/sites\/default\/files\/styles\/news_article__image_gallery\/public\/images\/202306\/MIT-SpectralPacking.png?resize=582%2C388&#038;ssl=1\" alt=\"\" style=\"width:582px;height:388px\" width=\"582\" height=\"388\"\/><\/figure>\n<\/div>\n\n\n<p>The method leverages a discrete voxel representation and formulates collisions between objects as correlations of functions computed efficiently using a novel cost function that can be efficiently solved with a Fast Fourier Transform (FFT). <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/news.mit.edu\/sites\/default\/files\/images\/inline\/dis1_480p.gif?w=640&#038;ssl=1\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p>Definitely worth checking out.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>MIT has just developed a new computational method that can figure out how to arrange a dense placement of objects inside a rigid container &#8211; while also guaranteeing that the objects are separable\/interlock free (can be taken out again without getting stuck on each other). The optimal way of positioning 3D objects of varied sizes and shapes in a container is still considered an unsolved problem. In fact, it is classified as NP-hard, which means it cannot be solved exactly&#8230;<\/p>\n<p class=\"read-more\"><a class=\"btn btn-default\" href=\"https:\/\/mattfife.com\/?p=9281\"> Read More<span class=\"screen-reader-text\">  Read More<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[9,5],"tags":[],"class_list":["post-9281","post","type-post","status-publish","format-standard","hentry","category-cool","category-technical"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p4WECr-2pH","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/mattfife.com\/index.php?rest_route=\/wp\/v2\/posts\/9281","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mattfife.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mattfife.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mattfife.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mattfife.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9281"}],"version-history":[{"count":2,"href":"https:\/\/mattfife.com\/index.php?rest_route=\/wp\/v2\/posts\/9281\/revisions"}],"predecessor-version":[{"id":9283,"href":"https:\/\/mattfife.com\/index.php?rest_route=\/wp\/v2\/posts\/9281\/revisions\/9283"}],"wp:attachment":[{"href":"https:\/\/mattfife.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9281"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mattfife.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9281"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mattfife.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9281"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}