{"id":13803,"date":"2024-08-10T09:37:16","date_gmt":"2024-08-10T09:37:16","guid":{"rendered":"https:\/\/dailyai.com\/?p=13803"},"modified":"2024-08-18T12:12:43","modified_gmt":"2024-08-18T12:12:43","slug":"deepmind-build-table-tennis-robot-that-beats-newbie-players-100-of-the-time","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/08\/deepmind-build-table-tennis-robot-that-beats-newbie-players-100-of-the-time\/","title":{"rendered":"DeepMind bygger bordtennisrobot, der sl\u00e5r nybegyndere 100% af gangene"},"content":{"rendered":"<p><strong>Forskere ved Google DeepMind har udviklet en AI-drevet robot, der er i stand til at spille bordtennis p\u00e5 amat\u00f8rniveau.\u00a0<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">At registrere tilstedev\u00e6relsen af en bordtennisbold, beregne dens retning og bev\u00e6ge pagajen for at ramme den - alt sammen p\u00e5 et splitsekund - er en k\u00e6mpe opgave inden for robotteknologi.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">DeepMinds robot er udstyret med en IRB 1100-robotarm monteret p\u00e5 to line\u00e6re portaler, som g\u00f8r det muligt for den at bev\u00e6ge sig hurtigt hen over og mod bordet. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den har en utrolig bev\u00e6gelsesfrihed og kan n\u00e5 de fleste omr\u00e5der af bordet for at sl\u00e5 til bolden med en pagaj, som et menneske g\u00f8r.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"\u00d8jnene\" er h\u00f8jhastighedskameraer, der tager billeder med 125 billeder i sekundet og sender data til et neuralt netv\u00e6rksbaseret perceptionssystem, der sporer boldens position i realtid.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Det AI-system, der styrer robotten, anvender et sofistikeret system med to niveauer:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Controllere p\u00e5 lavt niveau (LLC'er)<\/strong>: Det er specialiserede neurale netv\u00e6rk, der er tr\u00e6net til at udf\u00f8re specifikke bordtennisf\u00e6rdigheder, f.eks. topspin-slag med forh\u00e5nden eller bagh\u00e5ndsm\u00e5l. Hver LLC er designet til at excellere i et bestemt aspekt af spillet.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Controller p\u00e5 h\u00f8jt niveau (HLC)<\/strong>: Dette er systemets strategiske hjerne. HLC v\u00e6lger, hvilken LLC der skal bruges til hver indkommende bold, baseret p\u00e5 den aktuelle spiltilstand, modstanderens spillestil og robottens egne evner.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Denne dobbelte tilgang g\u00f8r det muligt for robotten at kombinere pr\u00e6cis udf\u00f8relse af individuelle skud med strategi p\u00e5 et h\u00f8jere niveau, hvilket efterligner den m\u00e5de, menneskelige spillere t\u00e6nker p\u00e5 spillet.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"Demonstrationer - Opn\u00e5else af konkurrencedygtig robotbordtennis p\u00e5 menneskeligt niveau\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/abi84lnjNV4?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h2>At bygge bro mellem simulation og den virkelige verden<\/h2>\n<p><span style=\"font-weight: 400;\">En af de st\u00f8rste udfordringer inden for robotteknologi er at overf\u00f8re f\u00e6rdigheder, der er l\u00e6rt i simulationsmilj\u00f8er, til den virkelige verden.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> Den <a href=\"https:\/\/arxiv.org\/pdf\/2408.03906\" target=\"_blank\" rel=\"noopener\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">DeepMind<\/span><\/span><\/span><\/span><\/span> unders\u00f8gelse<\/a> dokumenterer flere teknikker til at l\u00f8se dette:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Realistisk fysikmodellering<\/b><span style=\"font-weight: 400;\">: Forskerne brugte avancerede fysikmotorer til at modellere den komplekse dynamik i bordtennis, herunder boldspin, luftmodstand og padel-bold-interaktioner.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Randomisering af dom\u00e6ner<\/b><span style=\"font-weight: 400;\">: Under tr\u00e6ningen blev AI'en udsat for en lang r\u00e6kke simulerede forhold, hvilket hjalp den med at generalisere til de variationer, den kunne st\u00f8de p\u00e5 i den virkelige verden.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Sim-til-virkelig tilpasning<\/b><span style=\"font-weight: 400;\">: Teamet udviklede metoder til at finjustere de simulerede f\u00e6rdigheder til den virkelige verden, herunder en ny \"spin correction\"-teknik til at h\u00e5ndtere forskellene i padleadf\u00e6rd mellem simulering og virkelighed.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Iterativ dataindsamling<\/b><span style=\"font-weight: 400;\">: Forskerne opdaterede l\u00f8bende deres tr\u00e6ningsdata med spil fra den virkelige verden og skabte p\u00e5 den m\u00e5de en stadig bedre l\u00e6ringscyklus.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">En af robottens mest imponerende funktioner er m\u00e5ske dens evne til at tilpasse sig i realtid. I l\u00f8bet af en kamp sporer systemet forskellige statistikker om sin egen og modstanderens pr\u00e6station.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den bruger disse oplysninger til at justere sin strategi i farten og l\u00e6rer at udnytte svagheder i modstanderens spil, mens den styrker sit eget forsvar.<\/span><\/p>\n<h2>Evaluering af bordtennisrobotten<\/h2>\n<p><span style=\"font-weight: 400;\">S\u00e5 hvordan testede DeepMind deres bordtennisrobot?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">F\u00f8rst rekrutterede holdet 59 frivillige spillere og vurderede deres bordtennisf\u00e6rdigheder og kategoriserede dem som begyndere, mellemliggende, avancerede eller avancerede+ spillere. Fra den oprindelige pulje blev 29 deltagere p\u00e5 alle niveauer udvalgt til den fulde unders\u00f8gelse.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Derefter deltog en udvalgt spiller i tre konkurrencespil mod robotten efter modificerede bordtennisregler for at tage h\u00f8jde for robottens begr\u00e6nsninger.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ud over at indsamle kvantitative data fra robotten gennemf\u00f8rte forskerne efter kampen korte, semistrukturerede interviews med hver deltager om deres samlede oplevelse.\u00a0<\/span><\/p>\n<h2>Resultater<\/h2>\n<p><span style=\"font-weight: 400;\">Samlet set vandt robotten 45% af sine kampe, hvilket viser en solid samlet pr\u00e6station.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Det dominerede begyndere (vandt 100% af kampene) og klarede sig godt mod let \u00f8vede (vandt 55%), men havde det sv\u00e6rt mod \u00f8vede og \u00f8vede+ spillere (tabte alle kampe).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Heldigvis for os almindelige d\u00f8delige var der i det mindste \u00e9n stor svaghed: robottens problemer med at h\u00e5ndtere underspin, som var et markant hul i dens rustning i forhold til mere erfarne spillere.\u00a0<\/span><\/p>\n<p>Men hvis du slet ikke kan spille bordtennis eller synes, at du bare er ok til det, vil denne robot alligevel have gode chancer.<\/p>\n<p><iframe loading=\"lazy\" title=\"Nogle h\u00f8jdepunkter - Opn\u00e5else af konkurrencedygtig robotbordtennis p\u00e5 menneskeligt niveau\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/EqQl-JQxToE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p><span style=\"font-weight: 400;\">Barney J. Reed, en bordtennistr\u00e6ner, <\/span><a href=\"https:\/\/sites.google.com\/view\/competitive-robot-table-tennis\/home?utm_source&amp;utm_medium&amp;utm_campaign&amp;utm_content&amp;pli=1\"><span style=\"font-weight: 400;\">kommenterede unders\u00f8gelsen<\/span><\/a><span style=\"font-weight: 400;\">\"Det er virkelig fantastisk at se robotten spille mod spillere p\u00e5 alle niveauer og i alle stilarter. Vores m\u00e5l var, at robotten skulle v\u00e6re p\u00e5 et mellemniveau. Utroligt nok gjorde den netop det, alt det h\u00e5rde arbejde betalte sig.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Jeg f\u00f8ler, at robotten overgik selv mine forventninger. Det var en sand \u00e6re og forn\u00f8jelse at v\u00e6re en del af denne forskning. Jeg har l\u00e6rt s\u00e5 meget og er meget taknemmelig for alle, jeg har haft forn\u00f8jelsen af at arbejde sammen med.\"<\/span><\/p>\n<p>Dette er langt fra DeepMinds f\u00f8rste fors\u00f8g med sportsrobotik og AI. For ikke l\u00e6nge siden byggede de <a href=\"https:\/\/dailyai.com\/da\/2024\/04\/deepmind-train-robot-soccer-players-that-kick-tackle-and-defend\/\">AI-fodboldrobotter<\/a> i stand til at aflevere, tackle og skyde.<\/p>\n<p>DeepMind har udgivet\u00a0<a href=\"https:\/\/dailyai.com\/da\/2024\/01\/google-releases-a-suite-of-advanced-robotic-tools\/\" target=\"_blank\" rel=\"noopener\">AI-v\u00e6rkt\u00f8j til robotteknologi<\/a>\u00a0til udviklere i \u00e5revis og har for nylig gjort gennembrud i\u00a0<a href=\"https:\/\/dailyai.com\/da\/2023\/07\/googles-ai-turns-vision-language-into-robotic-actions\/\" target=\"_blank\" rel=\"noopener\">robot-syn og fingerf\u00e6rdighed.<\/a><\/p>\n<p><span style=\"font-weight: 400;\">I takt med at AI og robotteknologi udvikler sig, kan vi forvente at se flere eksempler p\u00e5 maskiner, der mestrer opgaver, som man tidligere troede var forbeholdt mennesker.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den dag, hvor du kan udfordre en robot til et spil bordtennis i dit lokale forsamlingshus, er m\u00e5ske ikke s\u00e5 langt v\u00e6k - men bliv ikke overrasket, hvis den sl\u00e5r dig i f\u00f8rste runde.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Forskere ved Google DeepMind har udviklet en AI-drevet robot, der kan spille bordtennis p\u00e5 amat\u00f8rniveau.  At registrere tilstedev\u00e6relsen af en bordtennisbold, beregne dens retning og bev\u00e6ge pagajen for at ramme den - alt sammen p\u00e5 et splitsekund - er en k\u00e6mpe opgave inden for robotteknologi.  DeepMinds robot er udstyret med en IRB 1100-robotarm monteret p\u00e5 to line\u00e6re portaler, som g\u00f8r det muligt for den at bev\u00e6ge sig hurtigt hen over og mod bordet. Den har et utroligt stort bev\u00e6gelsesomr\u00e5de og kan n\u00e5 de fleste omr\u00e5der af bordet for at sl\u00e5 til bolden med en pagaj, som et menneske g\u00f8r.\u00a0<\/p>","protected":false},"author":2,"featured_media":13804,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[147,105,169],"class_list":["post-13803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deepmind","tag-machine-learning","tag-robotics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DeepMind build table tennis robot that beats newbie players 100% of the time | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2024\/08\/deepmind-build-table-tennis-robot-that-beats-newbie-players-100-of-the-time\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DeepMind build table tennis robot that beats newbie players 100% of the time | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at Google DeepMind have developed an AI-powered robot capable of playing competitive table tennis at an amateur human level.\u00a0 Registering the presence of a ping-pong ball, calculating its direction, and moving the paddle to hit it \u2013 all in a split second \u2013 is a mammoth task in robotics.\u00a0 DeepMind\u2019s robot is equipped with an IRB 1100 robotic arm mounted on two linear gantries, which allow it to move swiftly across and toward the table. It has an incredible range of motion, reaching most areas of the table to strike the ball with a paddle as a human does.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2024\/08\/deepmind-build-table-tennis-robot-that-beats-newbie-players-100-of-the-time\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-10T09:37:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-18T12:12:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/DALL\u00b7E-2024-08-10-10.31.40-A-high-quality-landscape-image-of-a-futuristic-table-tennis-robot-designed-by-DeepMind-playing-a-game-of-table-tennis.-The-robot-has-a-sleek-metalli.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta 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