Modeling Workflows for Industrial Robots Considering Human-Robot-Collaboration

Dominik Schönberger, Rene Lindorfer, Roman Froschauer

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

7 Zitate (Scopus)

Abstract

The increasing number of variants results in decreasing lot sizes in the assembly and manufacturing domain. Considering traditional approaches of automation using industrial robots, it is very time-consuming to permanently adapt industrial robots for specific product variants in assembly lines. One possible approach of resolving this issue is the use of human-robot-collaboration for specific assembly steps. However, this also means that, in addition to the robot program, a work instruction must be created for the human worker. With current methods no workflow can be modeled which is universally applicable for a human or a robot. Therefore, this paper presents a new approach, called Human Robot Time and Motion (HRTM). The method provides generic basic elements which can be performed by a human worker or a robot. Additionally, collaborative elements allow to model synchronous tasks and a communication between human/human, human/robot or robot/robot. The HRTM approach is initially demonstrated by modeling a simple workflow which can be performed by a human worker or a robot. Finally, we model a collaborative workflow using Lego Duplo bricks and perform it at a workplace with a collaborative robot.

OriginalspracheEnglisch
TitelProceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
Seiten400-405
Seitenumfang6
ISBN (elektronisch)9781538648292
DOIs
PublikationsstatusVeröffentlicht - 24 Sep. 2018
VeranstaltungIEEE 16th International Conference on Industrial Informatics (INDIN 2018) - Porto, Portugal
Dauer: 18 Juli 201820 Juli 2018

Publikationsreihe

NameProceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018

Konferenz

KonferenzIEEE 16th International Conference on Industrial Informatics (INDIN 2018)
Land/GebietPortugal
OrtPorto
Zeitraum18.07.201820.07.2018

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