TY - JOUR
T1 - Perspectives on Assistive Systems for Manual Assembly Tasks in Industry
AU - Wolfartsberger, Josef
AU - Hallewell Haslwanter, Jean Denise
AU - Lindorfer, Rene
N1 - Funding Information:
The collaborative robot research done by the FH OÖ is financed by the Austrian Research Promotion Agency (FFG) COIN project HCW4i. The project “Smart Factory Lab” at the FH OÖ is funded by the European Fund for regional development (EFRE) as part of the program “Investing in Growth and Jobs 2014–2020”. The projects at RIC GmbH and BRP-Rotax are supported by Land OÖ project “RIC 2020”, as well as by the FFG projects MM Assist and DigiMont. Acknowledgments
Publisher Copyright:
© 2019 by the authors.
PY - 2019/1
Y1 - 2019/1
N2 - Small lot sizes in modern manufacturing present new challenges for people doing manual assembly tasks. Assistive systems, including context-aware instruction systems and collaborative robots, can support people to manage the increased flexibility, while also reducing the number of errors. Although there has been much research in this area, these solutions are not yet widespread in companies. This paper aims to give a better understanding of the strengths and limitations of the different technologies with respect to their practical implementation in companies, both to give insight into which technologies can be used in practice and to suggest directions for future research. The paper gives an overview of the state of the art and then describes new technological solutions designed for companies to illustrate the current status and future needs. The information provided demonstrates that, although a lot of technologies are currently being investigated and discussed, many of them are not yet at a level that they can be implemented in practice.
AB - Small lot sizes in modern manufacturing present new challenges for people doing manual assembly tasks. Assistive systems, including context-aware instruction systems and collaborative robots, can support people to manage the increased flexibility, while also reducing the number of errors. Although there has been much research in this area, these solutions are not yet widespread in companies. This paper aims to give a better understanding of the strengths and limitations of the different technologies with respect to their practical implementation in companies, both to give insight into which technologies can be used in practice and to suggest directions for future research. The paper gives an overview of the state of the art and then describes new technological solutions designed for companies to illustrate the current status and future needs. The information provided demonstrates that, although a lot of technologies are currently being investigated and discussed, many of them are not yet at a level that they can be implemented in practice.
KW - intelligent assistive systems
KW - mixed reality
KW - collaborative robots
KW - manual assembly
KW - human robot interaction
KW - intelligent assistive systems
KW - mixed reality
KW - collaborative robots
KW - manual assembly
KW - human robot interaction
KW - human–robot interaction
UR - http://www.scopus.com/inward/record.url?scp=85147573942&partnerID=8YFLogxK
U2 - 10.3390/technologies7010012
DO - 10.3390/technologies7010012
M3 - Article
SN - 2227-7080
VL - 7
JO - Technologies
JF - Technologies
IS - 1
M1 - 12
ER -