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Erschienen in: KI - Künstliche Intelligenz 4/2014

01.11.2014 | Research Project

Technologies for the Fast Set-Up of Automated Assembly Processes

verfasst von: Norbert Krüger, Aleš Ude, Henrik Gordon Petersen, Bojan Nemec, Lars-Peter Ellekilde, Thiusius Rajeeth Savarimuthu, Jimmy Alison Rytz, Kerstin Fischer, Anders Glent Buch, Dirk Kraft, Wail Mustafa, Eren Erdal Aksoy, Jeremie Papon, Aljaž Kramberger, Florentin Wörgötter

Erschienen in: KI - Künstliche Intelligenz | Ausgabe 4/2014

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Abstract

In 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’).

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Fußnoten
3
The experiments in [4, 68] were done by people not knowing the system before.
 
9
The Technical Readiness Level indicates the maturity of evolving technologies. It ranges from TRL 1 (basic technology research) to TRL 9 (system operating successfully under normal working conditions).
 
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Metadaten
Titel
Technologies for the Fast Set-Up of Automated Assembly Processes
verfasst von
Norbert Krüger
Aleš Ude
Henrik Gordon Petersen
Bojan Nemec
Lars-Peter Ellekilde
Thiusius Rajeeth Savarimuthu
Jimmy Alison Rytz
Kerstin Fischer
Anders Glent Buch
Dirk Kraft
Wail Mustafa
Eren Erdal Aksoy
Jeremie Papon
Aljaž Kramberger
Florentin Wörgötter
Publikationsdatum
01.11.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
KI - Künstliche Intelligenz / Ausgabe 4/2014
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI
https://doi.org/10.1007/s13218-014-0329-9

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