{"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\/de\/2023\/08\/mit-researchers-develop-technique-to-enhance-robotic-object-manipulation\/","title":{"rendered":"MIT-Forscher entwickeln Technik zur Verbesserung der Roboterobjektmanipulation"},"content":{"rendered":"<p><b>Forscher am Massachusetts Institute of Technology (MIT) haben eine KI-Technik entwickelt, die es Robotern erm\u00f6glichen soll, Objekte mit ihrem gesamten K\u00f6rper zu manipulieren.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Die Handhabung von Objekten mit mehreren Kontaktpunkten an verschiedenen K\u00f6rperteilen stellt eine enorme Herausforderung f\u00fcr Roboter dar. Menschen zeichnen sich durch Ganzk\u00f6rpermanipulationen aus, indem sie nahtlos gro\u00dfe Kisten tragen oder unregelm\u00e4\u00dfige Objekte halten.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Allerdings sind Roboter bei komplexen Manipulationsaufgaben aufgrund der zahlreichen Kontaktpunkte zwischen den Objekten und den verschiedenen Teilen ihres K\u00f6rpers weit weniger kompetent.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Wenn wir die Struktur dieser Art von Robotersystemen mit Hilfe von Modellen nutzen k\u00f6nnen, besteht die M\u00f6glichkeit, den gesamten Prozess der Entscheidungsfindung und der Erstellung kontaktreicher Pl\u00e4ne zu beschleunigen\", so H.J. Terry Suh, Doktorand der Elektrotechnik und Informatik (EECS) und Mitautor der Forschungsarbeit.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Im Kern befasst sich die Arbeit der MIT-Forscher mit der Rechenintensit\u00e4t und Komplexit\u00e4t von Robotermanipulationsaufgaben, insbesondere solchen, die kontaktreiche Szenarien beinhalten. Roboter m\u00fcssen bei der Planung einer Manipulationsaufgabe unz\u00e4hlige M\u00f6glichkeiten zur Kontaktaufnahme mit einem Objekt in Betracht ziehen, was zu einer un\u00fcberschaubaren Anzahl von Berechnungen f\u00fchrt.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Traditionell wurden zur L\u00f6sung dieses Problems Methoden des Verst\u00e4rkungslernens (Reinforcement Learning, RL) eingesetzt, die jedoch umfangreiche Rechenressourcen und Zeit erfordern.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Die <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10225433\">Studie<\/a> die \"Gl\u00e4ttung\" eingef\u00fchrt, um dieses Problem zu l\u00f6sen. Der Gl\u00e4ttungsprozess rationalisiert den Rechenaufwand, indem er die Anzahl der Kontaktereignisse reduziert, die der Roboter ber\u00fccksichtigen muss. Er verdichtet die unz\u00e4hligen potenziellen Kontaktpunkte zu einer \u00fcberschaubaren Anzahl von Schl\u00fcsselentscheidungen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Im Wesentlichen werden viele unbedeutende Aktionen und Kontakte, die der Roboter machen k\u00f6nnte, herausgerechnet, so dass nur die wesentlichen Punkte der Interaktion berechnet werden m\u00fcssen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Zur Umsetzung der \"Gl\u00e4ttung\" entwickelte das Team ein physikalisch basiertes Modell.\u00a0<\/span><span style=\"font-weight: 400;\">Dieses Modell repliziert effizient die Art von \"Mittelwertbildung\" von unkritischen Interaktionen, die implizit in Methoden des Verst\u00e4rkungslernens auftreten. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Das Team testete seinen Ansatz sowohl in Simulationen als auch in realer Roboter-Hardware. Dabei zeigte sich eine vergleichbare Leistung wie beim Reinforcement Learning, jedoch mit einem Bruchteil der Rechenkosten.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Praktische Anwendungen<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Die Auswirkungen dieser Forschung sind potenziell weitreichend. In der Industrie k\u00f6nnte die Technik den Einsatz kleinerer, mobilerer Roboter erm\u00f6glichen, die komplizierte Aufgaben mit gr\u00f6\u00dferer Flexibilit\u00e4t ausf\u00fchren k\u00f6nnen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dies k\u00f6nnte sowohl zu einem geringeren Energieverbrauch als auch zu niedrigeren Betriebskosten f\u00fchren. \u00dcber Fabriken hinaus k\u00f6nnte die Technologie auch f\u00fcr Weltraumforschungsmissionen eine entscheidende Rolle spielen, da sie es Robotern erm\u00f6glicht, sich mit minimalen Rechenressourcen schnell an unvorhersehbare Terrains oder Aufgaben anzupassen.<\/span><\/p>\n<p>Au\u00dferdem k\u00f6nnten diese Berechnungsmethoden den Forschern helfen, kompetente, lebensechte H\u00e4nde zu konstruieren.<\/p>\n<p><span style=\"font-weight: 400;\">\"Die gleichen Ideen, die eine Ganzk\u00f6rpermanipulation erm\u00f6glichen, funktionieren auch bei der Planung mit geschickten, menschen\u00e4hnlichen H\u00e4nden\", so Russ Tedrake, Hauptautor und Toyota-Professor f\u00fcr EECS am MIT.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">W\u00e4hrend die k\u00fcnstliche Intelligenz den Wandel in der Robotik vorantreibt und die Roboter mit immer besseren F\u00e4higkeiten und Erkenntnissen ausstattet, m\u00fcssen wir noch etwas mit biologischer Geschicklichkeit konstruieren. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Da die KI-Hardware immer kleiner wird, <a href=\"https:\/\/dailyai.com\/de\/2023\/08\/ex-google-researchers-establish-an-innovative-bio-inspired-ai-startup\/\">energieeffiziente Chips<\/a> und Forscher Wege zur L\u00f6sung von Rechenproblemen finden, sind geschickte, lebensechte Roboter wahrscheinlich nicht mehr weit entfernt.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Forscher am Massachusetts Institute of Technology (MIT) haben eine KI-Technik entwickelt, die es Robotern erm\u00f6glichen soll, Objekte mit ihrem gesamten K\u00f6rper zu manipulieren.  Die Manipulation von Objekten mit mehreren Kontaktpunkten an verschiedenen K\u00f6rperteilen stellt f\u00fcr Roboter eine enorme Herausforderung dar. Menschen sind hervorragend in der Ganzk\u00f6rpermanipulation, sie k\u00f6nnen gro\u00dfe Kisten nahtlos tragen oder unregelm\u00e4\u00dfige Gegenst\u00e4nde halten.  Roboter sind jedoch bei komplexen Manipulationsaufgaben aufgrund der zahlreichen Kontaktpunkte zwischen den Objekten und verschiedenen K\u00f6rperteilen weit weniger kompetent.  \"Anstatt dies als 'Black-Box'-System zu betrachten, sollten wir uns die Struktur dieser Art von Robotersystemen zunutze machen, indem wir<\/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\" 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