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Technologies for the Fast Set-Up of Automated Assembly Processes

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dc.contributor.authorKrüger, Norbert
dc.contributor.authorUde, Aleš
dc.contributor.authorPetersen, Henrik Gordon
dc.contributor.authorNemec, Bojan
dc.contributor.authorEllekilde, Lars-Peter
dc.contributor.authorSavarimuthu, Thiusius Rajeeth
dc.contributor.authorRytz, Jimmy Alison
dc.contributor.authorFischer, Kerstin
dc.contributor.authorBuch, Anders Glent
dc.contributor.authorKraft, Dirk
dc.contributor.authorMustafa, Wail
dc.contributor.authorAksoy, Eren Erdal
dc.contributor.authorPapon, Jeremie
dc.contributor.authorKramberger, Aljaž
dc.contributor.authorWörgötter, Florentin
dc.date.accessioned2018-01-08T09:17:26Z
dc.date.available2018-01-08T09:17:26Z
dc.date.issued2014
dc.description.abstractIn this article, we describe technologies facilitating the set-up of automated assembly solutions which have been developed in the context of the IntellAct project (2011–2014). Tedious procedures are currently still required to establish such robot solutions. This hinders especially the automation of so called few-of-a-kind production. Therefore, most production of this kind is done manually and thus often performed in low-wage countries. In the IntellAct project, we have developed a set of methods which facilitate the set-up of a complex automatic assembly process, and here we present our work on tele-operation, dexterous grasping, pose estimation and learning of control strategies. The prototype developed in IntellAct is at a TRL4 (corresponding to ‘demonstration in lab environment’).
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11425
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 28, No. 4
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectAutomated assembly
dc.subjectPose estimation
dc.subjectRobot control
dc.subjectRobotics
dc.titleTechnologies for the Fast Set-Up of Automated Assembly Processes
dc.typeText/Journal Article
gi.citation.endPage313
gi.citation.startPage305

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Künstliche Intelligenz 28(4) - November 2014