{"id":8982,"date":"2024-01-08T07:50:02","date_gmt":"2024-01-08T07:50:02","guid":{"rendered":"https:\/\/dailyai.com\/?p=8982"},"modified":"2024-01-08T07:50:02","modified_gmt":"2024-01-08T07:50:02","slug":"mobile-aloha-low-cost-bimanual-mobile-robot-housekeeper","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/01\/mobile-aloha-low-cost-bimanual-mobile-robot-housekeeper\/","title":{"rendered":"Mobil ALOHA: Billig bimanuel mobil robot-husholderske"},"content":{"rendered":"<p><strong>Forskere fra Stanford University har forbedret deres statiske ALOHA-robot ved at bygge en fuldt mobil version, der kan tr\u00e6nes til at udf\u00f8re husholdningsopgaver.<\/strong><\/p>\n<p>For at en robot skal kunne bruges til en r\u00e6kke generelle opgaver, skal den kunne bev\u00e6ge sig rundt og have et komplet udvalg af pr\u00e6cisionsbev\u00e6gelser til sine arme. Vi har set nogle imponerende demonstrationer af dette med robotter som Teslas Optimus, men de er ofte dyre eller utilg\u00e6ngelige.<\/p>\n<p>Sidste \u00e5r stod Tony Zhao i spidsen for et team, der udviklede ALOHA, et billigt open source-hardwaresystem til styring af en bimanuel eller toarmet robot. De f\u00f8rste demonstrationer af ALOHA's evner var imponerende, men robotten var statisk og arbejdede kun med ting foran den p\u00e5 et skrivebord.<\/p>\n<p>Med <a href=\"https:\/\/arxiv.org\/pdf\/2401.02117.pdf\" target=\"_blank\" rel=\"noopener\">Mobil ALOHA<\/a>har holdet under ledelse af Zhao og Zipeng Fu skabt en robot, der kan navigere gennem et komplekst milj\u00f8 som et hjem og dermed \u00e5bne op for en r\u00e6kke nye anvendelsesmuligheder.<\/p>\n<p>Robotten var i stand til at lave mad, t\u00f8rre et vinspild af en bordplade, stille stole p\u00e6nt op eller ringe efter en elevator.<\/p>\n<p>Nogle af dem kan virke trivielle, men det er ikke let at f\u00e5 en robot til at g\u00f8re noget som at tilkalde en elevator. Den skal navigere til elevatoren fra potentielt forskellige udgangspunkter, finde en knap p\u00e5 2 cm x 2 cm pr\u00e6cist, trykke p\u00e5 knappen med den helt rigtige kraft og derefter g\u00e5 ind i elevatoren.<\/p>\n<p><iframe loading=\"lazy\" title=\"Mobil ALOHA: Din reng\u00f8ringsrobot\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/HaaZ8ss-HP4?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>Imitation af l\u00e6ring<\/h2>\n<p>N\u00f8glen til, at robotten kan l\u00e6re nye f\u00e6rdigheder, er en proces med imitationsl\u00e6ring fra menneskelige demonstrationer. Ofte sker det ved hj\u00e6lp af videoer eller datas\u00e6t som <a href=\"https:\/\/dailyai.com\/da\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/\">Googles RT-X<\/a>. Med Mobile ALOHA brugte forskerne disse datas\u00e6t, men valgte ogs\u00e5 en anden tilgang. Robotten er udstyret med et interface, der g\u00f8r det muligt at binde en operat\u00f8r til den, s\u00e5 operat\u00f8ren kan styre robotten, mens den udf\u00f8rer en opgave.<\/p>\n<p>Efter at have demonstreret en opgave 50 gange kan tether-gr\u00e6nsefladen fjernes, og Mobile ALOHA vil udf\u00f8re opgaven med succes i op til 90% af tiden.<\/p>\n<p>Imitationsl\u00e6ring er meget nyttigt, n\u00e5r man skal l\u00e6re robotter nye f\u00e6rdigheder, men det har sine egne udfordringer, is\u00e6r i dom\u00e6ner, der kr\u00e6ver h\u00f8j pr\u00e6cision. Mobile ALOHA bruger en ny algoritme ved navn Action Chunk with Transformers (ACT), som Zhaos team udviklede sidste \u00e5r.<\/p>\n<p>ACT-algoritmen forbedrer effektiviteten ved at forudsige handlinger i bidder, hvilket reducerer opgavens kompleksitet.<\/p>\n<p>Med Mobile ALOHA sagde forskerne, at de var \"de f\u00f8rste til at finde ud af, at samtr\u00e6ning med statiske manipulationsdatas\u00e6t forbedrer ydeevnen og dataeffektiviteten af mobile manipulationspolitikker.\"<\/p>\n<p>Det betyder, at de mange eksisterende datas\u00e6t, der er skabt med statiske robotter, ogs\u00e5 kan v\u00e6re meget nyttige til at tr\u00e6ne mobile robotter.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Hvad sagde jeg til dig for et par dage siden? 2024 er \u00e5ret for robotteknologi. Mobile-ALOHA er en open source-robot-hardware, der kan udf\u00f8re fingerf\u00e6rdige, bimanuelle opgaver som at tilberede et m\u00e5ltid (med menneskelig teleoperation). Meget snart vil hardware ikke l\u00e6ngere v\u00e6re en flaskehals i vores s\u00f8gen efter menneskelig... <a href=\"https:\/\/t.co\/vMi3XkqKeh\">pic.twitter.com\/vMi3XkqKeh<\/a><\/p>\n<p>- Jim Fan (@DrJimFan) <a href=\"https:\/\/twitter.com\/DrJimFan\/status\/1742940245262471346?ref_src=twsrc%5Etfw\">4. januar 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<h2>Tilg\u00e6ngelig og til at betale<\/h2>\n<p>Lige s\u00e5 imponerende som demoerne er, lige s\u00e5 interessant er Mobile ALOHA, fordi hardwaren er hyldevare, og l\u00f8sningen er billig.<\/p>\n<p>Robotten styres af en almindelig b\u00e6rbar computer med en Nvidia 3070 Ti GPU (8 GB VRAM) og en Intel i7-12800H-processor. Den b\u00e6rbare computer modtager videostr\u00f8mme fra tre Logitech C922x RGB-webkameraer, der hver is\u00e6r har en opl\u00f8sning p\u00e5 480\u00d7640.<\/p>\n<p>Robotten drives af et 1,26 kWh batteri, der ogs\u00e5 fungerer som en 14 kg tung afbalanceringsv\u00e6gt for at forhindre, at robotten v\u00e6lter.<\/p>\n<p>Den samlede regning for Mobile ALOHA l\u00f8d p\u00e5 $32.000. Det er ikke d\u00e5rligt, n\u00e5r man t\u00e6nker p\u00e5, at det er en prototype. Hvis den blev sat i produktion, kunne Mobile ALOHA blive meget billigere end det. Og det faktum, at det er open source, betyder, at der snart kan komme flere hardwareudviklinger til platformen, hvilket vil f\u00e5 omkostningerne til at falde yderligere.<\/p>\n<p>Elon Musk forudsagde, at Teslas Optimus-robot i sidste ende vil koste omkring $20k. Der er dog stadig ingen \"l\u00e6g i kurv\"-knap p\u00e5 Teslas hjemmeside, uanset hvor meget du er villig til at betale for den.<\/p>\n<p>Med Mobile ALOHA har vi nu en fantastisk software- og hardwarel\u00f8sning, som tyder p\u00e5, at vi f\u00e5r robot-husholdningshj\u00e6lpere meget hurtigere, end vi troede.<\/p>","protected":false},"excerpt":{"rendered":"<p>Forskere fra Stanford University har forbedret deres statiske ALOHA-robot ved at bygge en fuldt mobil version, der kan tr\u00e6nes til at udf\u00f8re husholdningsopgaver. For at en robot kan v\u00e6re nyttig til en r\u00e6kke generelle opgaver, skal den kunne bev\u00e6ge sig rundt og have et komplet udvalg af pr\u00e6cisionsbev\u00e6gelser for sine arme. Vi har set nogle imponerende demonstrationer af dette med robotter som Teslas Optimus, men de er ofte dyre eller utilg\u00e6ngelige. Sidste \u00e5r stod Tony Zhao i spidsen for et team, der udviklede ALOHA, et billigt open source-hardwaresystem til styring af en bimanuel eller toarmet robot. De f\u00f8rste demonstrationer af<\/p>","protected":false},"author":6,"featured_media":8984,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[169],"class_list":["post-8982","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-robotics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mobile ALOHA: Low-cost bimanual mobile robot housekeeper | 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\/01\/mobile-aloha-low-cost-bimanual-mobile-robot-housekeeper\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mobile ALOHA: Low-cost bimanual mobile robot housekeeper | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Stanford University researchers have improved on their static ALOHA robot by building a fully mobile version that can be trained to perform household tasks. For a robot to be useful in a range of generalized tasks it needs to be able to move around and have a full range of precision motion for its arms. We\u2019ve seen some impressive demonstrations of this by robots like Tesla\u2019s Optimus but they are often expensive or unavailable. Last year Tony Zhao led a team that developed ALOHA, A Low-cost Open-source HArdware system to control a bimanual, or two-armed, robot. 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