Determining and Evaluating Trajectories of a Modular Machine End-Effector in a Manufacturing Environment using a Game Engine

The University of Stuttgart’s Institute of Industrial Manufacturing and Management (IFF) has proven the feasibility of using a game engine for modelling, visualizing and controlling highly complex production modules in a user-friendly and effective way. This paper describes the extended use of this...

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Published inProcedia CIRP Vol. 93; pp. 1079 - 1084
Main Authors Zarco, Liliana, Siegert, Jörg, Schlegel, Thilo, Bauernhansl, Thomas
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2020
Subjects
Complexity management
Control system
Production systems
Semantics
Ultra-flexible factory
Ultra-flexible factory
Complexity management
Production systems
Semantics
Control system
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Abstract The University of Stuttgart’s Institute of Industrial Manufacturing and Management (IFF) has proven the feasibility of using a game engine for modelling, visualizing and controlling highly complex production modules in a user-friendly and effective way. This paper describes the extended use of this game engine, its integrated physics engine and path-finding algorithms to determine different possible trajectories of a multi-axis machine. Similarly to a navigation system, the calculated trajectories have been evaluated according to their lead time, movement smoothness and recalculation time. The results were stored as capability descriptions in a machine model ontology.
AbstractList The University of Stuttgart’s Institute of Industrial Manufacturing and Management (IFF) has proven the feasibility of using a game engine for modelling, visualizing and controlling highly complex production modules in a user-friendly and effective way. This paper describes the extended use of this game engine, its integrated physics engine and path-finding algorithms to determine different possible trajectories of a multi-axis machine. Similarly to a navigation system, the calculated trajectories have been evaluated according to their lead time, movement smoothness and recalculation time. The results were stored as capability descriptions in a machine model ontology.
Author Siegert, Jörg
Zarco, Liliana
Bauernhansl, Thomas
Schlegel, Thilo
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Keywords Ultra-flexible factory
Complexity management
Production systems
Semantics
Control system
Language English
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Snippet The University of Stuttgart’s Institute of Industrial Manufacturing and Management (IFF) has proven the feasibility of using a game engine for modelling,...
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SubjectTerms Complexity management
Control system
Production systems
Semantics
Ultra-flexible factory
Title Determining and Evaluating Trajectories of a Modular Machine End-Effector in a Manufacturing Environment using a Game Engine
URI https://dx.doi.org/10.1016/j.procir.2020.04.120
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