{"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\/da\/2023\/08\/mit-researchers-develop-technique-to-enhance-robotic-object-manipulation\/","title":{"rendered":"MIT-forskere udvikler teknik til at forbedre manipulation af robotobjekter"},"content":{"rendered":"

Forskere ved Massachusetts Institute of Technology (MIT) har udviklet en AI-teknik, der er designet til at give robotter mulighed for at manipulere objekter ved hj\u00e6lp af hele deres krop.\u00a0<\/b><\/p>\n

Manipulation af genstande ved hj\u00e6lp af flere kontaktpunkter p\u00e5 tv\u00e6rs af forskellige kropsdele er en enorm udfordring for robotter. Mennesker udm\u00e6rker sig ved at manipulere hele kroppen, b\u00e6re store kasser eller holde uregelm\u00e6ssige genstande uden problemer.\u00a0<\/span><\/p>\n

Men robotter er langt mindre kompetente til komplekse manipulationsopgaver p\u00e5 grund af de mange kontaktpunkter mellem objekterne og forskellige dele af deres krop.\u00a0<\/span><\/p>\n

\"I stedet for at t\u00e6nke p\u00e5 dette som et 'black-box'-system, hvis vi kan udnytte strukturen i den slags robotsystemer ved hj\u00e6lp af modeller, er der mulighed for at fremskynde hele proceduren med at fors\u00f8ge at tr\u00e6ffe disse beslutninger og komme med kontaktrige planer\", siger H.J. Terry Suh, som er kandidatstuderende i elektroteknik og datalogi (EECS) og medforfatter til forskningsartiklen.<\/span><\/p>\n

Kernen i MIT-forskernes arbejde er den beregningsm\u00e6ssige intensitet og kompleksitet i robotmanipulationsopgaver, is\u00e6r dem, der involverer kontaktrige scenarier. Robotter er n\u00f8dt til at overveje utallige muligheder for at komme i kontakt med et objekt, n\u00e5r de planl\u00e6gger en manipulationsopgave, hvilket f\u00f8rer til et uoverskueligt antal beregninger.\u00a0<\/span><\/p>\n

Traditionelt er metoder til forst\u00e6rkningsl\u00e6ring (RL) blevet brugt til at l\u00f8se dette problem, men de kr\u00e6ver omfattende beregningsressourcer og tid.<\/span><\/p>\n

Den unders\u00f8gelse<\/a> introducerede \"udj\u00e6vning\" for at l\u00f8se dette problem. Udj\u00e6vningsprocessen str\u00f8mliner beregningsbyrden ved at reducere antallet af kontakth\u00e6ndelser, som robotten skal overveje. Den kondenserer de utallige potentielle kontaktpunkter til et h\u00e5ndterbart s\u00e6t af n\u00f8glebeslutninger.\u00a0<\/span><\/p>\n

I bund og grund er mange ubetydelige handlinger og kontakter, som robotten kunne foretage, udeladt, s\u00e5 det kun er de vigtige interaktionspunkter, der skal beregnes.\u00a0<\/span><\/p>\n

For at implementere 'udj\u00e6vning' designede teamet en fysikbaseret model.\u00a0<\/span>Denne model replikerer effektivt den form for \"udj\u00e6vning\" af ikke-kritiske interaktioner, der forekommer implicit i forst\u00e6rkningsindl\u00e6ringsmetoder. <\/span><\/p>\n

Teamet testede deres tilgang b\u00e5de i simuleringer og robot-hardware i den virkelige verden og viste sammenlignelige resultater med forst\u00e6rkningsl\u00e6ring, men til en br\u00f8kdel af beregningsomkostningerne.<\/span><\/p>\n

Praktiske anvendelser<\/span><\/h2>\n

Konsekvenserne af denne forskning er potentielt vidtr\u00e6kkende. P\u00e5 den industrielle front kan teknikken g\u00f8re det muligt at bruge mindre, mere mobile robotter, der kan udf\u00f8re komplicerede opgaver med st\u00f8rre fleksibilitet.\u00a0<\/span><\/p>\n

Det kan resultere i b\u00e5de reduceret energiforbrug og lavere driftsomkostninger. Ud over fabrikker kan teknologien v\u00e6re en game-changer for udforskningsmissioner i rummet, s\u00e5 robotter hurtigt kan tilpasse sig uforudsigelige terr\u00e6ner eller opgaver med minimale beregningsressourcer.<\/span><\/p>\n

Derudover kan disse beregningsmetoder hj\u00e6lpe forskere med at konstruere kompetente, livagtige h\u00e6nder.<\/p>\n

\"De samme ideer, som muligg\u00f8r manipulation af hele kroppen, fungerer ogs\u00e5 til planl\u00e6gning med beh\u00e6ndige, menneskelignende h\u00e6nder\", siger Russ Tedrake, seniorforfatter og Toyota-professor i EECS ved MIT.<\/span><\/p>\n

Mens kunstig intelligens skaber forandringer inden for robotteknologi og udstyrer robotter med stadig bedre f\u00e6rdigheder og forst\u00e5else, har vi endnu ikke konstrueret noget med biologisk fingerf\u00e6rdighed. <\/span><\/p>\n

Efterh\u00e5nden som AI-hardware krymper til mindre, energieffektive chips<\/a> og forskere finder m\u00e5der at l\u00f8se beregningsproblemer p\u00e5, er beh\u00e6ndige, livslignende robotter sandsynligvis ikke langt v\u00e6k.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Forskere ved Massachusetts Institute of Technology (MIT) har udviklet en AI-teknik, der skal g\u00f8re det muligt for robotter at manipulere genstande ved hj\u00e6lp af hele deres krop. Manipulation af genstande ved hj\u00e6lp af flere kontaktpunkter p\u00e5 tv\u00e6rs af forskellige kropsdele er en enorm udfordring for robotter. Mennesker udm\u00e6rker sig ved at manipulere med hele kroppen og kan uden problemer b\u00e6re store kasser eller holde uregelm\u00e6ssige genstande. Men robotter er langt mindre kompetente til komplekse manipulationsopgaver p\u00e5 grund af de mange kontaktpunkter mellem genstandene og forskellige dele af deres krop. \"I stedet for at t\u00e6nke p\u00e5 dette som et \"black-box\"-system, kan vi, hvis vi kan udnytte strukturen i denne type robotsystemer ved hj\u00e6lp af<\/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":"\nMIT researchers develop technique to enhance robotic object manipulation | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers at the Massachusetts Institute of Technology (MIT) have developed an AI technique designed to empower 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