{"id":4734,"date":"2023-08-27T20:53:35","date_gmt":"2023-08-27T20:53:35","guid":{"rendered":"https:\/\/dailyai.com\/?p=4734"},"modified":"2023-08-27T21:10:25","modified_gmt":"2023-08-27T21:10:25","slug":"mit-researchers-develop-technique-to-enhance-robotic-object-manipulation","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nl\/2023\/08\/mit-researchers-develop-technique-to-enhance-robotic-object-manipulation\/","title":{"rendered":"MIT-onderzoekers ontwikkelen techniek om robotische objectmanipulatie te verbeteren"},"content":{"rendered":"<p><b>Onderzoekers van het Massachusetts Institute of Technology (MIT) hebben een AI-techniek ontwikkeld waarmee robots objecten kunnen manipuleren met hun hele lichaam.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Het manipuleren van objecten met meerdere contactpunten op verschillende lichaamsdelen vormt een enorme uitdaging voor robots. Mensen blinken uit in het manipuleren van het hele lichaam, het naadloos dragen van grote dozen of het vasthouden van onregelmatige voorwerpen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Robots zijn echter veel minder bekwaam in complexe manipulatietaken vanwege de vele contactpunten tussen de objecten en verschillende delen van hun lichaam.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"In plaats van dit te zien als een 'black-box' systeem, kunnen we, als we de structuur van dit soort robotsystemen kunnen gebruiken met behulp van modellen, de hele procedure van het nemen van deze beslissingen en het bedenken van contactrijke plannen versnellen,\" zei H.J. Terry Suh, een student elektrotechniek en computerwetenschappen (EECS) en co-lead auteur van het onderzoeksartikel.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De kern van het werk van de MIT-onderzoekers is gericht op de rekenintensiteit en complexiteit van manipulatietaken voor robots, met name als het gaat om contactrijke scenario's. Bij het plannen van een manipulatietaak moeten robots rekening houden met talloze mogelijkheden om contact te maken met een object. Robots moeten bij het plannen van een manipulatietaak talloze mogelijkheden overwegen om contact te maken met een object, wat leidt tot een onuitvoerbaar aantal berekeningen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Traditioneel worden methoden voor reinforcement learning (RL) gebruikt om dit probleem op te lossen, maar deze vereisen veel rekenkracht en tijd.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10225433\">onderzoek<\/a> introduceerde 'smoothing' om dit probleem aan te pakken. Het 'smoothing' proces stroomlijnt de rekenlast door het aantal contactmomenten dat de robot moet overwegen te verminderen. Het comprimeert de ontelbare potenti\u00eble contactmomenten tot een hanteerbare set belangrijke beslissingen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In wezen worden veel onbelangrijke acties en contacten die de robot zou kunnen maken uitgemiddeld, zodat alleen de essenti\u00eble interactiepunten overblijven die moeten worden berekend.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Om het 'afvlakken' te implementeren ontwierp het team een op fysica gebaseerd model.\u00a0<\/span><span style=\"font-weight: 400;\">Dit model bootst op effici\u00ebnte wijze het soort 'uitmiddelen' van niet-kritieke interacties na dat impliciet optreedt in versterkingsleermethoden. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Het team testte hun aanpak zowel in simulaties als in echte robothardware en toonde vergelijkbare prestaties als bij reinforcement learning, maar tegen een fractie van de rekenkosten.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Praktische toepassingen<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">De implicaties van dit onderzoek zijn mogelijk verstrekkend. Op industrieel gebied zou de techniek het gebruik van kleinere, mobielere robots mogelijk kunnen maken die ingewikkelde taken met een grotere flexibiliteit kunnen uitvoeren.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dit zou kunnen leiden tot zowel minder energieverbruik als lagere operationele kosten. Buiten fabrieken zou de technologie een game-changer kunnen zijn voor ruimteverkenningsmissies, waarbij robots zich snel kunnen aanpassen aan onvoorspelbaar terrein of taken met minimale rekenkracht.<\/span><\/p>\n<p>Bovendien kunnen deze computermethoden onderzoekers helpen om competente, levensechte handen te maken.<\/p>\n<p><span style=\"font-weight: 400;\">\"Dezelfde idee\u00ebn die manipulatie van het hele lichaam mogelijk maken, werken ook voor het plannen met behendige, mensachtige handen\", zegt Russ Tedrake, senior auteur en Toyota professor in EECS aan MIT.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Terwijl AI de transformatie op het gebied van robotica voedt en robots uitrust met steeds betere vaardigheden en inzichten, moeten we nog iets bouwen met biologische beweeglijkheid. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI-hardware wordt steeds kleiner, <a href=\"https:\/\/dailyai.com\/nl\/2023\/08\/ex-google-researchers-establish-an-innovative-bio-inspired-ai-startup\/\">energiezuinige chips<\/a> en onderzoekers manieren vinden om rekenproblemen op te lossen, zijn beweeglijke, levensechte robots waarschijnlijk niet ver weg.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Onderzoekers van het Massachusetts Institute of Technology (MIT) hebben een AI-techniek ontwikkeld waarmee robots objecten kunnen manipuleren met hun hele lichaam.  Het manipuleren van objecten met behulp van meerdere contactpunten op verschillende lichaamsdelen vormt een enorme uitdaging voor robots. Mensen blinken uit in het manipuleren van het hele lichaam, het naadloos dragen van grote dozen of het vasthouden van onregelmatige voorwerpen.  Robots zijn echter veel minder bekwaam in complexe manipulatietaken vanwege de vele contactpunten tussen de objecten en verschillende delen van hun lichaam.  \"In plaats van dit te zien als een 'black-box' systeem, kunnen we de structuur van dit soort robotsystemen benutten met behulp van<\/p>","protected":false},"author":2,"featured_media":4735,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[105,117,169,130],"class_list":["post-4734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-machine-learning","tag-mit","tag-robotics","tag-robots"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MIT researchers develop technique to enhance robotic object manipulation | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers at the 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