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Virtual evaluation of industrial human-robot cooperation: An automotive case study
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Scania CV AB, Sweden.ORCID iD: 0000-0002-2401-0380
Scania CV AB, Sweden.
Fraunhofer-Chalmers Centre, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-7935-8811
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The manufacturing industries in the developed countries face challenges in terms of increased competition that puts demands on productivity, and a demographic change leading to an older population. One way of managing these challenges is through closer cooperation between human operators and robots. The robots can perform heavy, repetitive and hazardous tasks in a workstation, while the human operator does the more complex and flexible operations.

Most industrial human-robot interaction research focuses on the safety aspects, often performed and presented in the form of physical demonstrators, while little research is made on virtual simulations. Several simulation and visualisation tools for robot evaluation exist, as well as tools for digital human modelling. However, few tools can be found that virtually combines human and robot.

The aim of this paper is to contribute to narrowing that gap by presenting a method for virtual evaluation and optimisation of industrial human-robot cooperation. The new software demonstrator developed for this is based on the DHM tool IMMA. The presented method was implemented in a truck industry case comparing three assembly scenarios; fully manual, fully robotised or human-robot cooperation assembly. The method considers three dimensions which are compared and optimised for the human and robot; reach, operation time and biomechanical load.

The software demonstrator presents a virtual simulation of industrial human-robot cooperation. The result from this simulation can be used to find the optimal ergonomic manufacturing system based on biomechanical loads as well as finding the system with shortest operation time. The specific industrial case verifies the statement that a human-robot collaborative assembly system gives a less physically demanding workstation compared to a manual system, and thus is better adapted to an elderly workforce. This is achieved at the same time as the operation time decreases and productivity increases, which is necessary to meet the global competition. There are though safety issues to be solved and safety standards to be changed before these benefits can be applied in practise in industry. However, the software can be used to analyse different kind of human-robot interactions that are less cooperative and can be implemented within current regulations.

Place, publisher, year, edition, pages
2014.
Keyword [en]
Digital Human Modelling, Virtual simulation, Production Design Optimisation, Human-robot interaction, Industrial Robots
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Innovation and Design
Identifiers
URN: urn:nbn:se:mdh:diva-28054OAI: oai:DiVA.org:mdh-28054DiVA: diva2:815757
Conference
3rd International Digital Human Modeling Symposium (DHM2014), May 20-22, Odaiba, Japan
Available from: 2015-06-01 Created: 2015-06-01 Last updated: 2015-12-10Bibliographically approved
In thesis
1. Human − industrial robot collaboration: Simulation, visualisation and optimisation of future assembly workstations
Open this publication in new window or tab >>Human − industrial robot collaboration: Simulation, visualisation and optimisation of future assembly workstations
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2015
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 211
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Innovation and Design
Identifiers
urn:nbn:se:mdh:diva-28070 (URN)978-91-7485-218-9 (ISBN)
Presentation
2015-09-08, Filen, Mälardalens högskola, Eskilstuna, 10:00 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2015-06-03 Created: 2015-06-03 Last updated: 2015-08-24Bibliographically approved

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