{"id":88950,"date":"2026-08-14T22:54:16","date_gmt":"2026-08-14T19:54:16","guid":{"rendered":"https:\/\/twodots.gr\/?p=88950"},"modified":"2026-08-14T22:54:17","modified_gmt":"2026-08-14T19:54:17","slug":"dyna-2-rompot-mathainei-apo-anthropino-vinteo","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/dyna-2-rompot-mathainei-apo-anthropino-vinteo\/","title":{"rendered":"Dyna-2: \u03c4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03cc 1 \u03b5\u03ba\u03b1\u03c4. \u03ce\u03c1\u03b5\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf Dyna-2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4: \u03cc\u03c3\u03bf \u03b7 Dyna Robotics \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03c4\u03bf \u03c5\u03bb\u03b9\u03ba\u03cc \u03b1\u03c0\u03cc 1.000 \u03c3\u03b5 1.000.000 \u03ce\u03c1\u03b5\u03c2, \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03c4\u03cc\u03c3\u03bf \u03bf\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4 \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf robot post-training.<\/strong><\/p>\n<p>\u03a4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03bd\u03b1 \u03b4\u03bf\u03c5\u03bb\u03ad\u03c8\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u00ab\u03b2\u03bb\u03ad\u03c0\u03bf\u03bd\u03c4\u03b1\u03c2 YouTube\u00bb. \u03a4\u03bf report \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b5\u03c0\u03b9\u03bc\u03b5\u03bb\u03b7\u03bc\u03ad\u03bd\u03bf \u03b5\u03b3\u03c9\u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03cc \u03b2\u03af\u03bd\u03c4\u03b5\u03bf, \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae 3D hand poses, \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf world-action objective \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1: \u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c7\u03ce\u03c1\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03c4\u03b7\u03c2.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#provlima-dedomenon-rompotikis\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03cd\u03c3\u03b5\u03b9<\/a><\/li>\n<li><a href=\"#world-action-model-dyna-2\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf world-action model \u03c4\u03bf\u03c5 Dyna-2<\/a><\/li>\n<li><a href=\"#data-ladder-enos-ekatommyriou-oron\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf data ladder \u03ad\u03c9\u03c2 1 \u03b5\u03ba\u03b1\u03c4. \u03ce\u03c1\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#metafora-anthropino-vinteo-se-rompot\">\u0397 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c3\u03b5 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4<\/a><\/li>\n<li><a href=\"#video-co-training-koino-objective\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf video co-training \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#pragmatika-rompot-tasks-thresholds\">\u03a0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4, tasks \u03ba\u03b1\u03b9 threshold \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac<\/a><\/li>\n<li><a href=\"#dyna-2-enanti-dyna-1-customer-sites\">Dyna-2 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 Dyna-1 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03c3\u03b5 customer sites<\/a><\/li>\n<li><a href=\"#latency-diathesi-periorismoi\">Latency, \u03b4\u03b9\u03ac\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03bf\u03af \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af<\/a><\/li>\n<li><a href=\"#pilot-rompotikis-ai-epicheirisi\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf pilot \u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 AI<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"provlima-dedomenon-rompotikis\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03cd\u03c3\u03b5\u03b9<\/h2>\n<p>\u0397 \u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1. \u0397 \u03c4\u03b7\u03bb\u03b5\u03c7\u03b5\u03b9\u03c1\u03b9\u03b6\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03c4\u03ad\u03c4\u03bf\u03b9\u03c9\u03bd trajectories \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd\u03c4\u03b9\u03bc\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc hardware, \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2, \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ac \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03ce\u03bc\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4. \u0388\u03bd\u03b1\u03c2 \u03b2\u03c1\u03b1\u03c7\u03af\u03bf\u03bd\u03b1\u03c2 \u03bc\u03b5 \u03c0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03b1\u03c1\u03c0\u03ac\u03b3\u03b7, \u03ad\u03bd\u03b1 \u03c0\u03b5\u03bd\u03c4\u03b1\u03b4\u03ac\u03ba\u03c4\u03c5\u03bb\u03bf \u03c7\u03ad\u03c1\u03b9 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b7\u03bc\u03b9-\u03b1\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03b5\u03b9\u03b4\u03ad\u03c2 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03c7\u03ce\u03c1\u03bf \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03ce\u03bd.<\/p>\n<p>\u03a4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03ba\u03b9\u03bd\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03c0\u03ce\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03cd\u03c6\u03b1\u03c3\u03bc\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b4\u03b9\u03c0\u03bb\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03b5\u03be\u03b5\u03bb\u03af\u03c3\u03c3\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03ba\u03bf\u03c5\u03b6\u03af\u03bd\u03b1, laundry \u03ae \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae \u03c3\u03c5\u03bd\u03b1\u03c1\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2. \u0394\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ad\u03c2 \u03ba\u03b9\u03bd\u03b7\u03c4\u03ae\u03c1\u03c9\u03bd. \u0397 Dyna Robotics \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b7\u03c3\u03b5 \u03bd\u03b1 \u03b3\u03b5\u03c6\u03c5\u03c1\u03ce\u03c3\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc \u03bc\u03b5 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03bf \u03ce\u03c1\u03b5\u03c2 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 head-mounted, first-person \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03ba\u03b1\u03b9 \u03bc\u03b5 pseudo-action supervision \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc 3D hand-pose tracks, \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03c1\u03c0\u03bf\u03cd \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ac\u03bd\u03bf\u03b9\u03b3\u03bc\u03b1 \u03b1\u03bd\u03c4\u03af\u03c7\u03b5\u03b9\u03c1\u03b1-\u03b4\u03b5\u03af\u03ba\u03c4\u03b7.<\/p>\n<div class=\"td-article-note\"><strong>\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2:<\/strong> \u03c4\u03bf Dyna-2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc report \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03c4\u03b7\u03c2 Dyna Robotics. \u03a4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd vendor-reported. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03bf\u03cd\u03c4\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4, \u03ba\u03bb\u03ac\u03b4\u03bf \u03ae \u03c7\u03ce\u03c1\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2.<\/div>\n<p>\u0397 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7. \u03a4\u03bf report \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b7 \u03c4\u03ac\u03c3\u03b7 \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af post-training \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03bc\u03b7\u03c7\u03b1\u03bd\u03ae\u03bc\u03b1\u03c4\u03b1. \u0391\u03c5\u03c4\u03ae \u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03ce\u03c1\u03b9\u03bc\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03cc\u03c4\u03b5 \u03b7 <a href=\"https:\/\/twodots.gr\/automation-robotics-ai-business\/\">\u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd automation<\/a>: \u03cc\u03c7\u03b9 \u03c3\u03c4\u03bf demo, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03bf \u03c1\u03c5\u03b8\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow.<\/p>\n<h2 id=\"world-action-model-dyna-2\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf world-action model \u03c4\u03bf\u03c5 Dyna-2<\/h2>\n<p>\u03a4\u03bf Dyna-2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 world-action model, \u03ae WAM. \u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 video-diffusion backbone \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03bf\u03c1\u03c5\u03b2\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03cc \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03ba\u03b1\u03b9 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ac action chunks, \u03b1\u03c0\u03cc \u03ba\u03bf\u03b9\u03bd\u03bf\u03cd \u03ae \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac. \u039a\u03ac\u03b8\u03b5 modality \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 tokenizer \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c3\u03c4\u03bf\u03af\u03b2\u03b1 diffusion transformers, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03c3\u03c4\u03bf\u03af\u03b2\u03b5\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03ac\u03c3\u03c3\u03bf\u03c5\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bc\u03ad\u03c3\u03c9 attention. \u0397 proprioception, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03b1\u03c1\u03b8\u03c1\u03ce\u03c3\u03b5\u03c9\u03bd \u03c4\u03bf\u03c5 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4, \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03b5\u03af \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03c4\u03bf\u03bd action transformer.<\/p>\n<p>\u03a4\u03b1 video tokens \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd causal masking, \u03c4\u03b1 action tokens bidirectional self-attention \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf video context. \u03a4\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03c4\u03bf video stream, \u03cc\u03c7\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03c4\u03b1 action tokens. \u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 flow matching \u03bc\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 video \u03ba\u03b1\u03b9 action \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u0397 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b7 \u03c0\u03b1\u03c1\u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c3\u03c4\u03bf inference \u03b7 policy \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 reactive. \u0394\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03ad\u03bd\u03b1 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03cc \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03af\u03bd\u03b7\u03c3\u03b7. \u0397 video loss \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03bf\u03b9\u03bd\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03b5\u03bd\u03ce \u03bf action \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b8\u03bf\u03c1\u03c5\u03b2\u03ce\u03b4\u03b5\u03c2 future-video latent.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03af \u03c1\u03cc\u03bb\u03bf\u03b9 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--four\">\n<div class=\"td-platform-card\">\n<h3>Human video<\/h3>\n<p>\u0394\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03c9\u03bd, \u03b5\u03c0\u03b1\u03c6\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b9\u03ce\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ad\u03c2 \u03ba\u03b9\u03bd\u03b7\u03c4\u03ae\u03c1\u03c9\u03bd.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Pseudo-actions<\/h3>\n<p>\u03a4\u03b1 3D hand poses \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 \u03c5\u03bb\u03b9\u03ba\u03bf\u03cd \u03c3\u03b5 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03ba\u03b1\u03c1\u03c0\u03bf\u03cd \u03ba\u03b1\u03b9 \u03bb\u03b1\u03b2\u03ae\u03c2.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Video-only \u03c5\u03bb\u03b9\u03ba\u03cc<\/h3>\n<p>\u03a7\u03c9\u03c1\u03af\u03c2 action labels, \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03b7 cross-embodiment \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Robot demonstrations<\/h3>\n<p>\u03a0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03bf post-training, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b3\u03bd\u03ce\u03c3\u03b7 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c3\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae \u03b2\u03bf\u03b7\u03b8\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ce\u03bd data pipelines. \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c5\u03bb\u03b9\u03ba\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 clip \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf. \u0391\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 consent, provenance, \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf downstream \u03c3\u03ce\u03bc\u03b1 \u03ba\u03b1\u03b9 task. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 <a href=\"https:\/\/twodots.gr\/best-kag-protypa-ktirion-ixnilasimi-gnosi-ai\/\">\u03b9\u03c7\u03bd\u03b7\u03bb\u03ac\u03c3\u03b9\u03bc\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 AI<\/a>: \u03b7 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b5\u03c2.<\/p>\n<h2 id=\"data-ladder-enos-ekatommyriou-oron\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf data ladder \u03ad\u03c9\u03c2 1 \u03b5\u03ba\u03b1\u03c4. \u03ce\u03c1\u03b5\u03c2<\/h2>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03cd\u03b1\u03c3\u03b5 nested subsets \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 1.000, 10.000, 100.000 \u03ba\u03b1\u03b9 1.000.000 \u03c9\u03c1\u03ce\u03bd. \u039a\u03ac\u03b8\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf rung \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ce\u03bd. \u0388\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc validation set 100 \u03c9\u03c1\u03ce\u03bd \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2, \u03b5\u03bd\u03ce \u03bf\u03b9 training \u03ba\u03b1\u03b9 evaluation \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03af\u03b4\u03b9\u03b5\u03c2. \u03a4\u03bf report \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae compute \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1.<\/p>\n<p>\u03a3\u03c4\u03b1 held-out \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03b4\u03cd\u03bf \u03c3\u03c5\u03bd\u03b5\u03c7\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03cd\u03bf thresholded accuracies \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03bf\u03bd\u03bf\u03c4\u03bf\u03bd\u03b9\u03ba\u03ac. \u0397 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 accuracy@0.1 \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 51% \u03c3\u03b5 \u03cc\u03bb\u03bf \u03c4\u03bf ladder, \u03b5\u03bd\u03ce \u03c4\u03bf MSE \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 12%. \u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03ce\u03c1\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03af\u03c3\u03b7 \u03b1\u03be\u03af\u03b1 \u03ae \u03cc\u03c4\u03b9 \u03b7 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7 \u03b8\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c7\u03af\u03c3\u03b5\u03b9 \u03b5\u03c0&#8217; \u03ac\u03c0\u03b5\u03b9\u03c1\u03bf\u03bd. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03ba\u03bf\u03c1\u03b5\u03c3\u03bc\u03cc\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03ad\u03bd\u03b1 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03bf \u03ce\u03c1\u03b5\u03c2.<\/p>\n<p>\u0397 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf held-out human score, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03b1\u03bd \u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf post-training \u03c3\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ac tasks. \u039f \u03bc\u03ad\u03c3\u03bf\u03c2 normalized score \u03c3\u03b5 14 tasks \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc 20% \u03c3\u03b5 28%, 45% \u03ba\u03b1\u03b9 53% \u03c4\u03bf\u03c5 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf\u03c5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac task. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ce\u03bd native metrics, \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf success rate.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<p class=\"td-chart-title\">\u039a\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 human-video pre-training \u03ba\u03b1\u03b9 \u03bc\u03ad\u03c3\u03bf normalized score<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 vendor-reported \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03af\u03b4\u03b9\u03b1 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 robot post-training \u03c3\u03b5 14 tasks. \u0394\u03b5\u03bd \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf \u03c7\u03ce\u03c1\u03bf \u03ae workflow.<\/p>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">20%<\/div>\n<div class=\"td-metric-label\">1.000 \u03ce\u03c1\u03b5\u03c2<\/div>\n<p>\u03a4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf checkpoint \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03c4\u03bf \u03ad\u03bd\u03b1 \u03c0\u03ad\u03bc\u03c0\u03c4\u03bf \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf\u03c5 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf\u03c5 \u03b1\u03bd\u03ac task.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">28%<\/div>\n<div class=\"td-metric-label\">10.000 \u03ce\u03c1\u03b5\u03c2<\/div>\n<p>\u0397 \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf score, \u03b1\u03bb\u03bb\u03ac \u03c0\u03bf\u03bb\u03bb\u03ac \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 tasks \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03ac.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">45%<\/div>\n<div class=\"td-metric-label\">100.000 \u03ce\u03c1\u03b5\u03c2<\/div>\n<p>\u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03ac\u03bd\u03bf\u03b4\u03bf\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03c1\u03af\u03c4\u03bf rung, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 cross-embodiment \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">53%<\/div>\n<div class=\"td-metric-label\">1 \u03b5\u03ba\u03b1\u03c4. \u03ce\u03c1\u03b5\u03c2<\/div>\n<p>\u03a4\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf checkpoint \u03ae\u03c4\u03b1\u03bd \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03ba\u03b1\u03b9 \u03c0\u03c1\u03ce\u03c4\u03bf \u03c3\u03b5 9 \u03b1\u03c0\u03cc \u03c4\u03b1 14 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac tasks.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03b1 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c4\u03bf\u03c5 report \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 \u00ab\u03b4\u03b5\u03af\u03ba\u03c4\u03b7\u03c2 \u03c9\u03c1\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2\u00bb. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae: \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf post-training recipe, \u03c4\u03bf checkpoint \u03c0\u03bf\u03c5 \u03b5\u03af\u03c7\u03b5 \u03b4\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03ad\u03b4\u03c9\u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7. \u0397 \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 protocol, denominators \u03ba\u03b1\u03b9 evaluator \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b7, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/every-eval-ever-ai-benchmarks-diafaneia\/\">AI benchmarks \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1<\/a>.<\/p>\n<h2 id=\"metafora-anthropino-vinteo-se-rompot\">\u0397 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c3\u03b5 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4<\/h2>\n<p>\u0397 zero-shot offline \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b5 39 tasks \u03c3\u03b5 \u03b4\u03cd\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 \u03b4\u03b9\u03ba\u03ad\u03c6\u03b1\u03bb\u03b5\u03c2 \u03c0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b5\u03c2 YAM. \u0394\u03ce\u03b4\u03b5\u03ba\u03b1 tasks \u03ae\u03c4\u03b1\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 27 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc xdof ABC dataset. \u039a\u03b1\u03bd\u03ad\u03bd\u03b1 checkpoint \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b5\u03af \u03c3\u03b5 trajectory \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd robot \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd. \u03a4\u03b1 tasks \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b1\u03bd \u03cd\u03c6\u03b1\u03c3\u03bc\u03b1, \u03ba\u03cc\u03bc\u03c0\u03bf\u03c5\u03c2, \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03b1\u03c3\u03af\u03b1, \u03ba\u03b1\u03b8\u03b1\u03c1\u03b9\u03c3\u03bc\u03cc, food service \u03ba\u03b1\u03b9 assembly.<\/p>\n<p>\u039f\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03bf\u03bd\u03bf\u03c4\u03bf\u03bd\u03b9\u03ba\u03ac \u03ba\u03b1\u03b8\u03ce\u03c2 \u03b1\u03c5\u03be\u03b1\u03bd\u03cc\u03c4\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf pre-training, \u03bc\u03b5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03ae \u03ba\u03b1\u03bc\u03c0\u03ae \u03bc\u03b5\u03c4\u03b1\u03be\u03cd 10.000 \u03ba\u03b1\u03b9 100.000 \u03c9\u03c1\u03ce\u03bd. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 report: \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b8\u03b7\u03ba\u03b5 \u03bc\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b4\u03c1\u03ac\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c3\u03ce\u03bc\u03b1, \u03c7\u03c9\u03c1\u03af\u03c2 robot data \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0394\u03b5\u03bd \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 \u03c0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b5\u03c2, \u03bc\u03b5 \u03b5\u03c0\u03b9\u03bc\u03b5\u03bb\u03b7\u03bc\u03ad\u03bd\u03b1 tasks \u03ba\u03b1\u03b9 offline metrics. \u03a4\u03bf report \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc visual \u03ae embodiment alignment \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ac \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5-\u03c1\u03bf\u03bc\u03c0\u03cc\u03c4. \u0391\u03c5\u03c4\u03cc \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03ac\u03bb\u03bb\u03b1 \u03c3\u03ce\u03bc\u03b1\u03c4\u03b1, \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2, \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2, \u03c1\u03c5\u03b8\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 safety envelopes.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u00abzero-shot\u00bb \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u00ab\u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03c1\u03bf\u03b5\u03c4\u03bf\u03b9\u03bc\u03b1\u03c3\u03af\u03b1\u00bb. \u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 \u03b4\u03b5\u03b9 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 evaluation set \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7. \u0397 \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03c7\u03ce\u03c1\u03bf\u03c5, \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc integration, acceptance criteria, recovery paths \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03af\u03b2\u03bb\u03b5\u03c8\u03b7. \u0397 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/human-ai-synergasia-ektimisi-dynatotiton-synergati\/\">Human-AI \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd<\/a> \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03c0\u03b9\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf output \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b1\u03bb\u03bb\u03ac \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03ba\u03af\u03bd\u03b7\u03c3\u03b7.<\/p>\n<h2 id=\"video-co-training-koino-objective\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf video co-training \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf ablation \u03c3\u03c5\u03bd\u03ad\u03ba\u03c1\u03b9\u03bd\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ad\u03c2: action-only, joint video-action \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 video co-training \u03bc\u03b5 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf video-only \u03c5\u03bb\u03b9\u03ba\u03cc. \u0397 \u03ba\u03bf\u03b9\u03bd\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 video \u03ba\u03b1\u03b9 action \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03b7\u03bd action-only \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 39 \u03b1\u03c0\u03cc \u03c4\u03b1 39 robot tasks, \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 action \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd. \u0397 action-only \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b5 \u03ad\u03bd\u03c4\u03bf\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b1\u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c0\u03c4\u03bf overfitting \u03cc\u03c3\u03bf \u03b1\u03c5\u03be\u03b1\u03bd\u03cc\u03c4\u03b1\u03bd \u03c4\u03bf dataset.<\/p>\n<p>\u0397 \u03c0\u03b9\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03ae\u03c1\u03b8\u03b5 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 action-labelled \u03ce\u03c1\u03b5\u03c2 \u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf video-only \u03c5\u03bb\u03b9\u03ba\u03cc. \u03a3\u03b5 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b5\u03c2 action data, \u03b7 zero-shot robot generalization \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03bc\u03bf\u03bd\u03bf\u03c4\u03bf\u03bd\u03b9\u03ba\u03ac. \u03a4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1, \u03b7 held-out \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03bd \u03c5\u03c0\u03bf\u03c7\u03ce\u03c1\u03b7\u03c3\u03b5 \u03bb\u03af\u03b3\u03bf. \u0386\u03c1\u03b1 \u03c4\u03bf \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf video \u03b4\u03b5\u03bd \u03ad\u03ba\u03b1\u03bd\u03b5 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b5\u03c5\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf prediction task\u00b7 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b8\u03b7\u03ba\u03b5 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03bc\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf embodiment.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 data strategy. \u039f\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03b9\u03ce\u03bd \u2014 \u03b4\u03af\u03c0\u03bb\u03c9\u03bc\u03b1, \u03b4\u03b9\u03b1\u03bb\u03bf\u03b3\u03ae, kitting, \u03ba\u03b1\u03b8\u03b1\u03c1\u03b9\u03c3\u03bc\u03cc, \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03cc \u03c4\u03c1\u03bf\u03c6\u03af\u03bc\u03c9\u03bd \u2014 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 clip \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 action labeling \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf. \u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf video-only objective \u03b1\u03c0\u03cc \u03c4\u03bf downstream control data \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03bc\u03b5 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 demonstrations \u03c4\u03bf\u03c5 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4.<\/p>\n<p>\u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf multimodal pipeline: \u03b5\u03c5\u03c1\u03cd \u03c5\u03bb\u03b9\u03ba\u03cc \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03c3\u03c4\u03b5\u03bd\u03cc\u03c4\u03b5\u03c1\u03b1 labels \u03b3\u03b9\u03b1 \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03b4\u03c1\u03ac\u03c3\u03b7. \u03a7\u03c9\u03c1\u03af\u03c2 governance, \u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf corpus \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03b1\u03c3\u03b9\u03ac\u03c3\u03b5\u03b9 \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2, \u03c0\u03b1\u03c1\u03b1\u03b2\u03b9\u03ac\u03c3\u03b5\u03b9\u03c2 consent \u03ae task imbalance. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03b4\u03af\u03bd\u03b5\u03c4\u03b1\u03b9, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b1\u03c6\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b9\u03b4\u03ad\u03b1 \u03c4\u03bf\u03c5 \u00ab\u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03ba\u03cc\u03c3\u03bc\u03bf\u03c5\u00bb.<\/p>\n<h2 id=\"pragmatika-rompot-tasks-thresholds\">\u03a0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4, tasks \u03ba\u03b1\u03b9 threshold \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac<\/h2>\n<p>\u039a\u03ac\u03b8\u03b5 rung \u03c4\u03bf\u03c5 data ladder \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03b1\u03c0\u03cc \u03af\u03b4\u03b9\u03bf post-training \u03c3\u03b5 14 tasks, \u03bc\u03b5 \u03ad\u03c9\u03c2 \u03b4\u03ad\u03ba\u03b1 \u03ce\u03c1\u03b5\u03c2 robot data \u03b1\u03bd\u03ac task. \u0388\u03bd\u03c4\u03b5\u03ba\u03b1 tasks \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03b4\u03b9\u03ba\u03ad\u03c6\u03b1\u03bb\u03bf\u03c5\u03c2 YAM \u03b2\u03c1\u03b1\u03c7\u03af\u03bf\u03bd\u03b5\u03c2 \u03ad\u03be\u03b9 \u03b2\u03b1\u03b8\u03bc\u03ce\u03bd \u03b5\u03bb\u03b5\u03c5\u03b8\u03b5\u03c1\u03af\u03b1\u03c2 \u03bc\u03b5 \u03c0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b5\u03c2 \u03b1\u03c1\u03c0\u03ac\u03b3\u03b5\u03c2, \u03b4\u03cd\u03bf \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 arms \u03bc\u03b5 WUJI-2 \u03c7\u03ad\u03c1\u03b9\u03b1 \u03b5\u03af\u03ba\u03bf\u03c3\u03b9 \u03b2\u03b1\u03b8\u03bc\u03ce\u03bd \u03b5\u03bb\u03b5\u03c5\u03b8\u03b5\u03c1\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf language-following task \u03ad\u03c4\u03c1\u03b5\u03be\u03b5 \u03c3\u03b5 \u03c0\u03c1\u03ce\u03b9\u03bc\u03bf \u03b7\u03bc\u03b9-\u03b1\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03b5\u03b9\u03b4\u03ad\u03c2 prototype.<\/p>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03c7\u03b5 \u03b4\u03ad\u03ba\u03b1 trials \u03b1\u03bd\u03ac task \u03ba\u03b1\u03b9 \u03b4\u03ce\u03b4\u03b5\u03ba\u03b1 \u03c3\u03c4\u03bf language task, \u03bc\u03b5 blind evaluators \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03b5\u03af\u03c7\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7. \u03a4\u03b1 tasks \u03b4\u03b5\u03bd \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03bd \u03bc\u03af\u03b1 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae metric, \u03b3\u03b9&#8217; \u03b1\u03c5\u03c4\u03cc \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c9\u03c2 \u03ba\u03bb\u03ac\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf\u03c5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03c4\u03bf task \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03cc\u03b3\u03b9\u03c3\u03b5 \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf score \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf chart.<\/p>\n<p>\u03a4\u03b1 averages \u03ba\u03c1\u03cd\u03b2\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2. \u03a3\u03c4\u03bf Lockbox Key Turning, \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 checkpoint \u03ad\u03c9\u03c2 \u03c4\u03b9\u03c2 100.000 \u03ce\u03c1\u03b5\u03c2 \u03b4\u03b5\u03bd \u03b3\u03cd\u03c1\u03b9\u03c3\u03b5 \u03c4\u03bf \u03ba\u03bb\u03b5\u03b9\u03b4\u03af, \u03b5\u03bd\u03ce \u03c4\u03bf checkpoint \u03c4\u03bf\u03c5 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03bf\u03c5 \u03c9\u03c1\u03ce\u03bd \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 90% success rate. \u03a3\u03c4\u03bf Bottle Cap Untwisting, \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03b4\u03ad\u03ba\u03b1 \u03bb\u03b5\u03c0\u03c4\u03ac demonstrations \u03b1\u03c1\u03ba\u03bf\u03cd\u03c3\u03b1\u03bd \u03b3\u03b9\u03b1 post-training, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 10% \u03c3\u03c4\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 budgets \u03c3\u03b5 40% \u03ba\u03b1\u03b9 50% \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1. \u03a4\u03bf Targeted Drink Retrieval \u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 58% \u03c3\u03b5 83%.<\/p>\n<p>\u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03b5\u03c2 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf task. \u0394\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03bc\u03c9\u03c2 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 pilot \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 per-task criteria \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf. \u0388\u03bd\u03b1 workflow \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf edge case \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03b5\u03af \u03c4\u03c1\u03b1\u03c5\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc, \u03c6\u03b8\u03bf\u03c1\u03ac \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2 \u03ae \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c0\u03b1\u03c1\u03c4\u03af\u03b4\u03b1. \u039f\u03b9 <a href=\"https:\/\/twodots.gr\/virtual-safety-controls-codesys-mesco-viomichaniki-aytomatopoiisi\/\">virtual safety controls \u03c3\u03c4\u03b7 \u03b2\u03b9\u03bf\u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7<\/a> \u03c5\u03c0\u03b5\u03bd\u03b8\u03c5\u03bc\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03b7 learned policy \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03b5\u03af \u03c3\u03b5 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2.<\/p>\n<h2 id=\"dyna-2-enanti-dyna-1-customer-sites\">Dyna-2 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 Dyna-1 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03c3\u03b5 customer sites<\/h2>\n<p>\u039c\u03b9\u03b1 \u03c0\u03c1\u03ce\u03b9\u03bc\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 Dyna-2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5 \u03bc\u03b5 \u03c4\u03bf Dyna-1, \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 production VLA \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03b7\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1\u03c2. \u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03c1\u03ac\u03c4\u03b7\u03c3\u03b5 \u03af\u03b4\u03b9\u03b1 pre-training \u03ba\u03b1\u03b9 post-training datasets, \u03af\u03b4\u03b9\u03b1 hyperparameters \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac checkpoints \u03b1\u03bd\u03ac \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b7 Dyna \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf pipeline \u03ae\u03c4\u03b1\u03bd \u03ae\u03b4\u03b7 \u03c1\u03c5\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03b3\u03b9\u03b1 VLA \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03ce\u03b9\u03bc\u03b7 WAM \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 million-hour recipe.<\/p>\n<p>\u03a3\u03b5 \u03b5\u03c0\u03c4\u03ac tasks \u03ba\u03b1\u03b9 21 task-checkpoint cells \u03b1\u03bd\u03ac \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, \u03c4\u03bf \u03c0\u03c1\u03ce\u03b9\u03bc\u03bf Dyna-2 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 1,55 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03c4\u03bf success rate \u03ba\u03b1\u03b9 1,12 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03c4\u03bf grade \u03c4\u03bf\u03c5 Dyna-1. \u03a3\u03c4\u03b9\u03c2 head-to-head \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03c4\u03bf 65% \u03c4\u03c9\u03bd \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 29% \u03b3\u03b9\u03b1 \u03c4\u03bf Dyna-1 \u03ba\u03b1\u03b9 6% \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03b9\u03ce\u03bd. \u0391\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03c9\u03c4\u03b9\u03ba\u03ac vendor results, \u03cc\u03c7\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf leaderboard \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd robotics vendors.<\/p>\n<p>\u0397 \u03c0\u03b9\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03b5 customer sites \u03c0\u03bf\u03c5 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 \u03b4\u03b5\u03b9. \u0395\u03bd\u03c4\u03cc\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1\u03c2, \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03c3\u03b1\u03bd \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c4\u03bf 100% \u03c4\u03c9\u03bd production criteria. \u03a3\u03c4\u03b9\u03c2 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b5\u03bb\u03b1\u03c4\u03ce\u03bd, \u03c4\u03bf Dyna-2 \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03bf 87% \u03ba\u03b1\u03b9 \u03c4\u03bf Dyna-1 \u03c4\u03bf 46%, \u03bc\u03b5 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc on-site operators \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03b5\u03af\u03c7\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 41 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03ae, \u03b1\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03bf\u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1\u03c2.<\/p>\n<div class=\"td-decision-band\">\n<p><strong>\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c7\u03ce\u03c1\u03bf:<\/strong> \u03bc\u03b7\u03bd \u03b1\u03b3\u03bf\u03c1\u03ac\u03b6\u03b5\u03c4\u03b5 \u03c4\u03bf 87% \u03c9\u03c2 \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7. \u0396\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 pilot \u03bc\u03b5 \u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03b2\u03ac\u03c1\u03b4\u03b9\u03b5\u03c2, \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03cc, \u03c1\u03c5\u03b8\u03bc\u03cc, rejection criteria \u03ba\u03b1\u03b9 recovery procedures. \u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc KPI \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 downtime, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 safety incidents.<\/p>\n<\/div>\n<p>\u0397 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd in-house \u03ba\u03b1\u03b9 on-site \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bf\u03c5\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03ac\u03c1\u03b8\u03c1\u03bf\u03c5. \u03a4\u03bf Dyna-2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03bb\u03af\u03b3\u03bf \u03bb\u03ad\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03b3\u03b9\u03b1 \u03c4\u03bf production. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/multi-llm-agents-diakyvernisi-metra-perissotero-apo-prompt\/\">\u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 AI \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 trajectory<\/a> \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b7 \u03ad\u03be\u03bf\u03b4\u03bf.<\/p>\n<h2 id=\"latency-diathesi-periorismoi\">Latency, \u03b4\u03b9\u03ac\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03bf\u03af \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af<\/h2>\n<p>\u03a4\u03bf Dyna-2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 video-generation \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03b3\u03b9\u03b1 downstream planning \u03ba\u03b1\u03b9 evaluation. \u039c\u03b5 distillation \u03c3\u03b5 one-step student, \u03b7 Dyna \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 sampling \u03b1\u03c0\u03cc 10.203 ms \u03c3\u03b5 110 ms \u03c3\u03b5 \u03bc\u03af\u03b1 H100 \u03b3\u03b9\u03b1 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd \u03c4\u03c1\u03b9\u03ce\u03bd \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03bf\u03bb\u03ad\u03c0\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03c1\u03b9\u03ce\u03bd views \u2014 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 93 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03b1. \u0397 distilled \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03ba\u03c1\u03ac\u03c4\u03b7\u03c3\u03b5 FVD 121 \u03ba\u03b1\u03b9 flicker 1,94, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03ba\u03af\u03bd\u03b7\u03c3\u03ae \u03c4\u03b7\u03c2 \u03ad\u03c6\u03c4\u03b1\u03bd\u03b5 \u03c4\u03bf 75% \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03b5\u03b9\u03c0\u03cc\u03c4\u03b1\u03bd \u03c4\u03bf\u03c5 \u03c0\u03bb\u03ae\u03c1\u03bf\u03c5\u03c2 teacher.<\/p>\n<p>\u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac time-to-latents \u03b3\u03b9\u03b1 video generation, \u03cc\u03c7\u03b9 end-to-end latency \u03b5\u03bd\u03cc\u03c2 \u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03bf\u03cd cell. \u0397 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2, preprocessing, action sampling, low-level control, \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u03ba\u03af\u03bd\u03b7\u03c3\u03b7, safety checks \u03ba\u03b1\u03b9 recovery. \u0388\u03c4\u03c3\u03b9, \u03c4\u03bf \u00ab110 ms\u00bb \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03cc\u03c4\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b4\u03c1\u03ac \u03c3\u03b5 110 ms.<\/p>\n<p>\u0397 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 Dyna \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 downloadable weights, API \u03ae \u03ac\u03b4\u03b5\u03b9\u03b1 self-hosting \u03b3\u03b9\u03b1 \u03c4\u03bf Dyna-2. \u0397 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03c0\u03bf\u03c1\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 vendor-operated robotic system \u03ba\u03b1\u03b9 pilot. \u0397 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 deployments \u03c3\u03b5 laundry, food and hospitality, factory \u03ba\u03b1\u03b9 assembly, \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 throughput \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7 \u03b1\u03bd\u03ac \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b1\u03bd\u03bf\u03b9\u03ba\u03c4\u03ac \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1: \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 million-hour corpus, \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 mobile robots \u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac end-effectors, \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b1 hazards, long-horizon recovery \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae. \u03a4\u03bf report \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1, \u03cc\u03c7\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 procurement pack. \u039c\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2, SLA, maintenance, data retention, incident response \u03ba\u03b1\u03b9 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03c4\u03b5\u03af.<\/p>\n<h2 id=\"pilot-rompotikis-ai-epicheirisi\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf pilot \u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 AI<\/h2>\n<p>\u03a4\u03bf \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf use case \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf, \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf: \u03b4\u03af\u03c0\u03bb\u03c9\u03bc\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03c9\u03bd \u03c5\u03c6\u03b1\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd, kitting \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5 catalog, \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c3\u03af\u03b1 \u03c3\u03c4\u03b1\u03b8\u03bc\u03bf\u03cd, sorting \u03ae \u03ba\u03b1\u03b8\u03b1\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 \u03c3\u03c0\u03ac\u03bd\u03b9\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c4\u03c1\u03b1\u03c5\u03bc\u03b1\u03c4\u03af\u03c3\u03b5\u03b9 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf \u03ae \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7.<\/p>\n<p>\u03a4\u03bf baseline \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c0\u03c1\u03b9\u03bd \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2, cycle time, rework, rejects, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2, downtime, \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03ac \u03b2\u03ac\u03c1\u03b4\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1. \u0397 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b7\u03c2: \u03bf \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03bc\u03cc\u03bd\u03bf\u03c2 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c2 \u03c4\u03bf\u03c5.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0388\u03be\u03b9 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 pilot Dyna-2 \u03ae \u03ac\u03bb\u03bb\u03b7\u03c2 \u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 AI<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 bounded physical workflow<\/strong>\n<p>\u039a\u03b1\u03b8\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf, \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1, \u03b1\u03c0\u03b1\u03b3\u03bf\u03c1\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1 \u03c7\u03ce\u03c1\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 2<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 baseline \u03b1\u03bd\u03ac \u03b2\u03ac\u03c1\u03b4\u03b9\u03b1<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 quality, throughput, rework, downtime \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ad\u03c2 \u03b7\u03bc\u03ad\u03c1\u03b5\u03c2 \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c6\u03b1\u03bd\u03b5\u03af \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 3<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc test set<\/strong>\n<p>\u03a3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03c0\u03b1\u03c1\u03b1\u03bc\u03bf\u03c1\u03c6\u03c9\u03bc\u03ad\u03bd\u03b1 \u03ae \u03c5\u03b3\u03c1\u03ac \u03c5\u03bb\u03b9\u03ba\u03ac, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae edge cases \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c7\u03ce\u03c1\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 4<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 safety \u03ba\u03b1\u03b9 recovery<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ac \u03cc\u03c1\u03b9\u03b1, emergency stop, fail-safe \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b7 policy \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03b5\u03af \u03ae \u03ba\u03bf\u03bb\u03bb\u03ac.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 5<\/span><strong>\u0391\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 \u03bc\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf operator<\/strong>\n<p>\u039f evaluator \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ad\u03c7\u03b5\u03b9 \u03c3\u03c4\u03bf tuning. \u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 intervention, near miss, reject \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 6<\/span><strong>\u0391\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03c3\u03c4\u03b5 \u03bc\u03b5 exit criteria<\/strong>\n<p>\u039a\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03bf baseline \u03c3\u03b5 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03ba\u03c1\u03c5\u03c6\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 pilot \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 audit trail \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03b5\u03b9\u03be\u03b7\u03c2. \u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 video evidence, version \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2, \u03c3\u03c5\u03bc\u03b2\u03ac\u03bd\u03c4\u03b1, \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c7\u03ce\u03c1\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 denominator \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 KPI. \u0391\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ad\u03c2 \u00ab\u03b1\u03cc\u03c1\u03b1\u03c4\u03bf\u00bb human correction, \u03c4\u03bf throughput \u03c4\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03bf.<\/p>\n<p>\u03a4\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03bf\u03c1\u03c1\u03bf\u03c0\u03b7\u03bc\u03ad\u03bd\u03bf. \u03a4\u03bf Dyna-2 \u03b4\u03af\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 million-hour human-video pre-training \u03ba\u03b1\u03b9 video co-training \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd cross-embodiment \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac. \u0394\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03b5\u03af robot demonstrations, \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc integration \u03ae safety engineering. \u0393\u03b9\u03b1 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03b1\u03c5\u03c4\u03ae \u03b7 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf \u03af\u03b4\u03b9\u03bf\u03c2 \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03b7\u03bc\u03ad\u03bd\u03bf\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a>: \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf scope, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1, observability \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf robotics demo \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf pilot<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b5\u03c2, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, integrations, acceptance criteria, monitoring \u03ba\u03b1\u03b9 human handoff \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 AI pilot \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Dyna-2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 world-action model \u03c4\u03b7\u03c2 Dyna Robotics \u03c0\u03bf\u03c5 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03bf\u03cd \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03ba\u03b1\u03b9 action chunks, \u03bc\u03b5 \u03c3\u03c4\u03cc\u03c7\u03bf \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b3\u03bd\u03ce\u03c3\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03ce\u03bc\u03b1\u03c4\u03b1 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03cc\u03c3\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 Dyna \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03bf \u03ce\u03c1\u03b5\u03c2 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03b5\u03b3\u03c9\u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03af\u03bc\u03b1\u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf ladder 1.000, 10.000, 100.000 \u03ba\u03b1\u03b9 1.000.000 \u03c9\u03c1\u03ce\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03c9\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b5 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 corpus \u03b5\u03be\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 3D hand poses, \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03c1\u03c0\u03bf\u03cd \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ad\u03c2 \u03c3\u03ae\u03bc\u03b1 \u03bb\u03b1\u03b2\u03ae\u03c2 \u03c9\u03c2 pseudo-action supervision. \u03a0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf video-only \u03c5\u03bb\u03b9\u03ba\u03cc \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 action labels.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03c4\u03b1 robot demonstrations;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac tasks \u03c4\u03bf\u03c5 report \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd robot data \u03c3\u03c4\u03bf post-training.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 human-to-robot transfer scaling law;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf report, \u03cc\u03c3\u03bf \u03b1\u03c5\u03be\u03b1\u03bd\u03cc\u03c4\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf pre-training, \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03bd \u03bc\u03bf\u03bd\u03bf\u03c4\u03bf\u03bd\u03b9\u03ba\u03ac \u03bf\u03b9 offline \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c3\u03b5 robot \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 checkpoint \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 \u03b4\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf \u03c4\u03bf Dyna-2 \u03c9\u03c2 API \u03ae open weights;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0394\u03b5\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf API, downloadable checkpoint \u03ae \u03ac\u03b4\u03b5\u03b9\u03b1 self-hosting. \u0397 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 vendor-operated robotic system.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 on-site \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03bc\u03b5 customer acceptance criteria \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 held-out score, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, throughput \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03ce\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 pilot \u03c1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 AI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b5 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf workflow, \u03ba\u03b1\u03c4\u03b1\u03b3\u03b5\u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03bd\u03bf baseline, \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf evaluator, safety \u03ba\u03b1\u03b9 recovery controls, \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac edge cases \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae exit criteria.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/www.dyna.co\/dyna-2\" target=\"_blank\" rel=\"noopener\">Dyna Robotics \u2014 \u03a0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03ad\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc report Dyna-2, \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, scaling laws \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"https:\/\/www.dyna.co\/\" target=\"_blank\" rel=\"noopener\">Dyna Robotics \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 Dyna-2 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03ce\u03bd deployment \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2605.12090\" target=\"_blank\" rel=\"noopener\">World Action Models: The Next Frontier in Embodied AI \u2014 \u03a0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03ae\u03c2 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c4\u03c9\u03bd WAMs<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-generative-artificial-intelligence\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Generative AI Profile \u03b3\u03b9\u03b1 governance, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 AI<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf Dyna-2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 1 \u03b5\u03ba\u03b1\u03c4. \u03ce\u03c1\u03b5\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf. \u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 robot tests \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc pilot \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7.<\/p>","protected":false},"author":1,"featured_media":88964,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[7245,19352,19353,17395,19354],"class_list":["post-88950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-automation","tag-dyna-2","tag-embodied-ai","tag-robotics","tag-world-models"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/88950","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=88950"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/88950\/revisions"}],"predecessor-version":[{"id":88965,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/88950\/revisions\/88965"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/88964"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=88950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=88950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=88950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}