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On safe collaborative assembly with large industrial robots / Varun Gopinath.

Gopinath, Varun, 1982- (författare)
Johansen, Kerstin, 1966- (preses)
Ölvander, Johan, 1972- (preses)
Derelöv, Micael, 1973- (preses)
Hofbaur, Michael (opponent)
Linköpings universitet. Institutionen för ekonomisk och industriell utveckling (utgivare)
Alternativt namn: Linköping University. Department of Management and Engineering
Alternativt namn: IEI
Se även: Linköpings universitet. Ekonomiska institutionen
Se även: Linköpings universitet. Institutionen för konstruktions- och produktionsteknik
Se även: Linköpings universitet. Institutionen för produktionsekonomi
Linköpings universitet Tekniska fakulteten (utgivare)
Publicerad: Linköping : Linköping University, Department of Management and Engineering, 2019
Engelska 1 onlineresurs (xiv, 78 sidor)
Serie: Linköping studies in science and technology. Dissertation, 0345-7524 ; 2026
Läs hela texten (Sammanfattning och ramberättelse från Linköping University Electronic Press)
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  • E-bokAvhandling(Diss. (sammanfattning) Linköping : Linköpings universitet, 2019)
Sammanfattning Ämnesord
Stäng  
  • 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. 

Ämnesord

Människa-maskin-interaktion  (sao)
Arbetarskydd  (sao)
Montering  (sao)
Engineering and Technology  (ssif)
Electrical Engineering, Electronic Engineering, Information Engineering  (ssif)
Robotics  (ssif)
Teknik  (ssif)
Elektroteknik och elektronik  (ssif)
Robotteknik och automation  (ssif)
Engineering and Technology  (ssif)
Mechanical Engineering  (ssif)
Production Engineering, Human Work Science and Ergonomics  (ssif)
Teknik  (ssif)
Maskinteknik  (ssif)
Produktionsteknik, arbetsvetenskap och ergonomi  (ssif)
Engineering and Technology  (ssif)
Other Engineering and Technologies  (ssif)
Interaction Technologies  (ssif)
Teknik  (ssif)
Annan teknik  (ssif)
Interaktionsteknik  (ssif)
Natural Sciences  (ssif)
Computer and Information Sciences  (ssif)
Human Computer Interaction  (ssif)
Naturvetenskap  (ssif)
Data- och informationsvetenskap (Datateknik)  (ssif)
Människa-datorinteraktion (interaktionsdesign)  (ssif)
Natural Sciences  (ssif)
Computer and Information Sciences  (ssif)
Computer Sciences  (ssif)
Naturvetenskap  (ssif)
Data- och informationsvetenskap (Datateknik)  (ssif)
Datavetenskap (datalogi)  (ssif)
Industrirobotar  -- säkerhetsaspekter (sao)
Human-machine systems  (LCSH)
Industrial safety  (LCSH)

Genre

government publication  (marcgt)

Klassifikation

629.8924019 (DDC)
Pbad (kssb/8 (machine generated))
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