Accurate and versatile automation of industrial kitting operations with SkiROS

Athanasios S. Polydoros*, Bjarne Großmann, Francesco Rovida, Lazaros Nalpantidis, Volker Krüger

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

8 Citationer (Scopus)

Abstract

The low automation level of industrial manufacturing processes, in conjunction with the limited research in the field of object manipulation for placing tasks, rise the need for adaptive and accurate industrial robotic systems that can manipulate a variety of objects in an uncertain environment. We deal with those issues by providing insights into two modules of a skilled-based architecture, the SkiROS. Those modules are applied on the placing part of an industrial kitting operation and can lead to versatile perception of the environment and the accurate placing of objects in confined areas. We evaluate both modules in terms of accuracy, execution time and success rate in various setups of the environment. Also we evaluate the whole kitting pipeline - including the proposed modules - as a unit in terms of repeatability and execution time. The results show that the proposed system is capable to both accurately localize the kitting box and place the object in its narrow compartments.

OriginalsprogEngelsk
TitelTowards Autonomous Robotic Systems : 17th Annual Conference, TAROS 2016, Sheffield, UK, June 26--July 1, 2016, Proceedings
RedaktørerLyuba Alboul, Dana Damian, Jonathan M. Aitken
Antal sider14
ForlagSpringer
Publikationsdato2016
Sider255-268
ISBN (Trykt)978-3-319-40378-6
ISBN (Elektronisk)978-3-319-40379-3
DOI
StatusUdgivet - 2016
Begivenhed17th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2016 - Sheffield, Storbritannien
Varighed: 26 jun. 20161 jul. 2016

Konference

Konference17th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2016
Land/OmrådeStorbritannien
BySheffield
Periode26/06/201601/07/2016
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind9716
ISSN0302-9743

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