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Risk Assessment for Collaborative Operation: A Case Study on Hand-Guided Industrial Robots
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9539-2163
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-1646-5817
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
2018 (English)In: Risk Assessment / [ed] Valentina Svalova, London/Rijeka: InTech, 2018, p. 167-187Chapter in book (Refereed)
Abstract [en]

Risk assessment is a systematic and iterative process, which involves risk analysis, where probable hazards are identified, and then corresponding risks are evaluated along with solutions to mitigate the effect of these risks. In this article, the outcome of a risk assessment process will be detailed, where a large industrial robot is used as an intelligent and flexible lifting tool that can aid operators in assembly tasks. The realization of a collaborative assembly station has several benefits, such as increased productivity and improved ergonomic work environment. The article will detail the design of the layout of a collaborative assembly workstation, which takes into account the safety and productivity concerns of automotive assembly plants. The hazards associated with hand-guided collaborative operations will also be presented.

Place, publisher, year, edition, pages
London/Rijeka: InTech, 2018. p. 167-187
Keywords [en]
Hand-guided robots, industrial system safety, collaborative operations, human-robot collaboration, risk assessment, hazards
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-145504DOI: 10.5772/intechopen.70607ISBN: 9789535137986 (print)ISBN: 9789535140634 (electronic)ISBN: 9789535137993 (electronic)OAI: oai:DiVA.org:liu-145504DiVA, id: diva2:1187171
Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2019-11-20Bibliographically approved
In thesis
1. On Safe Collaborative Assembly With Large Industrial Robots
Open this publication in new window or tab >>On Safe Collaborative Assembly With Large Industrial Robots
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis pertains to industrial safety in relation to human-robot collaboration. The aim is to enhance understanding of the nature of systems where large industrial robots collaborate with humans to complete assembly tasks. This understanding may support development and safe operations of future collaborative systems.

Industrial robots are widely used to automate manufacturing operations across several industries. The automotive industry is the largest user of robots and have identified robot-based automation as a strategy to improve efficiency in manufacturing operations.

Recently, a class of machines referred to as collaborative robots have been developed by robot manufacturers to support operators in assembly tasks. The use of these robots to support human workers in an industrial context are referred to as collaborative operations.

Presently, collaborative robots have limited reach and load carrying capacity compared to standard industrial robots. Large/standard industrial robots are widely used for applications such as welding or painting. They can, in principle support operators in assembly tasks as well.

Two laboratory demonstrators representing the final results from a series of research activities will be presented. They were developed to investigate issues related to personnel and process safety while working with large industrial robots in collaborative operations. The demonstrators were partially based on assembly workstations that are currently operational and they exemplify challenges faced by the automotive industry.

Demonstrator-based Research, a methodology for collaborative research that emphasizes development of demonstrators as a research tool, forms the rationale for carrying out research operations presented in this thesis. An evaluation of the laboratory demonstrators by industrial participants suggests an increased interest and confidence in collaborative operations with large robots. The demonstrators have served as a tentative platform for participants to identify and discuss manufacturing and safety challenges in relation to their organization.

A main outcome presented in this thesis relates to specifying requirements for introducing robots in a human-populated environment. Introducing robotic systems in new environments requires reconsideration of the nature of the hazards particular to the domain. An analysis of the laboratory demonstrators suggest that, in addition to hazards associated with normal functioning of the system, limitations in human cognition must be considered. These results will be exemplified and discussed in the context of situational and mode awareness. Additionally, a model of a collaborative workstation will be presented in terms of three constituents – workspace, tasks and interaction.

This is particularly significant considering the direction of present-day research aimed at introducing robots across various industries and working environments. In response to this trend, this thesis discusses the relevance of Interactive Research and its emphasis on joint learning that goes on between academic researchers and industrial participants as a valuable principle for collaborative research.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2019. p. 79
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2026
National Category
Robotics Production Engineering, Human Work Science and Ergonomics Interaction Technologies Human Computer Interaction Computer Sciences
Identifiers
urn:nbn:se:liu:diva-162134 (URN)10.3384/diss.diva-162134 (DOI)9789179299774 (ISBN)
Public defence
2019-12-13, C3, C-huset, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2019-11-20 Created: 2019-11-20 Last updated: 2019-11-20Bibliographically approved

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Gopinath, VarunJohansen, KerstinAndersson (Ölvander), Johan

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