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Die Herausforderung liegt dabei nicht allein in der sensorischen Wahrnehmung, sondern auch in der Verkn\u00fcpfung mit vorhandenem Wissen: So k\u00f6nnen zwei f\u00fcr Verfahren der Objekterkennung identische Gegenst\u00e4nde durch ihre Funktion (\u201eDer Akkuschrauber, den ich zuletzt genutzt habe\u201c) oder ihren Umgebungskontext (\u201eDie Tasse auf meinem Tisch\u201c) eine eindeutige Zuordnung erhalten. Die Robotik adressiert diese Herausforderung unter dem Begriff des Anchorings, also der F\u00e4higkeit, individuelle Objekte eindeutig zu erkennen und anhand ihres Kontexts wiederzuerkennen, sobald sie einmal aus dem Wahrnehmungsbereich gelangt sind. Auf technischer Ebene besteht dabei das Problem, Beziehungen zwischen Sensordaten und Symbolen in einer Wissensbasis herzustellen und so physische Objekte konkret zu adressieren. Der Beitrag stellt das Anchoring-Problem sowie den Dynamic Anchoring Agent (DAA) als einen L\u00f6sungsansatz vor. Anhand von zwei realen Anwendungsszenarien wird der Einsatz des DAA demonstriert: Anhand eines MakerSpaces werden die M\u00f6glichkeiten zur erweiterten Kooperation zwischen Menschen und Robotern gezeigt - beispielsweise durch die Suche und Identifikation von pers\u00f6nlichem Werkzeug oder ben\u00f6tigten Produktionsmaterialien. Eine zweite Anwendung verdeutlicht am Beispiel eines Yachthafens den weiterf\u00fchrenden Einsatz in dynamischen Umgebungen.<\/jats:p>","DOI":"10.1365\/s40702-020-00675-y","type":"journal-article","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T19:02:49Z","timestamp":1603911769000},"page":"1173-1186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatische Wiedererkennung von individuellen Objekten mit dem Dynamic Anchoring Agent","The Dynamic Anchoring Agent for Automatic Identification of Individual Objects"],"prefix":"10.1365","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2276-3140","authenticated-orcid":false,"given":"Martin","family":"G\u00fcnther","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2418-4882","authenticated-orcid":false,"given":"Friedemann","family":"Kammler","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4904-2570","authenticated-orcid":false,"given":"Oliver","family":"Ferdinand","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6371-9624","authenticated-orcid":false,"given":"Joachim","family":"Hertzberg","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Thomas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6018-5030","authenticated-orcid":false,"given":"Oliver","family":"Zielinski","sequence":"additional","affiliation":[]}],"member":"93","published-online":{"date-parts":[[2020,10,28]]},"reference":[{"key":"675_CR1","volume-title":"Tracking and data fusion\u2014A handbook of algorithms","author":"Y Bar-Shalom","year":"2011","unstructured":"Bar-Shalom\u00a0Y, Willett\u00a0PK, Tian\u00a0X (2011) Tracking and data fusion\u2014A handbook of algorithms. 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