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Inftech."],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>Zusammenfassung<\/jats:title>\n                  <jats:p>Dieser Artikel beleuchtet neue Entwicklungen in der Bildverarbeitung und Robotik. Dank Lernmethoden gibt es neue L\u00f6sungen f\u00fcr Probleme wie das Erkennen, Bestimmen der Pose und Greifen neuer, noch unbekannter Objekte. Mithilfe gelernter geometrischer Merkmale k\u00f6nnen auch neue Objektinstanzen erkannt und Objekte \u00e4hnlichen, aber bekannten Klassen zugeordnet werden, um ein automatisches Greifen mit einem Roboter zu erm\u00f6glichen. Die Objekterkennung und Posenbestimmung ist auch f\u00fcr transparente Objekte m\u00f6glich und deren F\u00fcllstand kann zuverl\u00e4ssig bestimmt werden. Um sicherzustellen, dass die erkannten Objekte auch tats\u00e4chlich vorhanden sind und ihre Position korrekt ist, wird die Methode der Positionsverifizierung eines Objekts eingesetzt. 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Schlie\u00dflich stellen wir Methoden vor, mit denen nicht nur Punkte, sondern auch ganze Bearbeitungspfade von bekannten Objekten auf neue Objekte \u00fcbertragen werden k\u00f6nnen.<\/jats:p>","DOI":"10.1007\/s00502-025-01346-w","type":"journal-article","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T12:23:45Z","timestamp":1760531025000},"page":"349-359","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Methoden zur raschen Erkennung neuer Objekte in Farb- und Tiefenbildern","Methods for fast detection of novel objects in RGB and depth images"],"prefix":"10.1007","volume":"142","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2799-491X","authenticated-orcid":false,"given":"Markus","family":"Vincze","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Baptiste","family":"Weibel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philipp","family":"Ausserlechner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"H\u00f6nig","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Sebeto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anish","family":"Pratheepkumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hrishikesh","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Thalhammer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"issue":"3","key":"1346_CR1","doi-asserted-by":"publisher","first-page":"2543","DOI":"10.1109\/LRA.2024.3357432","volume":"9","author":"Y Jin","year":"2024","unstructured":"Jin Y, Li D, Yong A, Shi J, Hao P, Sun F, Zhang J, Fang B (2024) Robotgpt: robot manipulation learning from chatgpt. 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