Virtual Verification of Human-Robot Collaboration
This page gives overall information about the project.
The objective of the Virtual Verification of Human-Robot Collaboration project (Vinnova Dnr 2015-03719) is to perform research and development actions needed for the creation of a simulation tool that facilitates efficient and valid simulation of human-robot collaboration and where the consideration of human variation is supported.
The demonstrator human-robot collaboration simulation tool developed will be used by industry for verifying and balancing human-robot collaboration. The industry will be able, in early design phases, to generate work instructions to a worker and programming code to a robot in an optimal workplace where robots’ and humans’ advantages are combined and utilised in a successful way.
Lars Hanson, Scania AB / Chalmers / University of Skövde
Telephone: +46 707-890272
Lars Hanson (Professor), Scania AB / Chalmers / University of Skövde
Johan S Carlson (PhD), FCC
Robert Bohlin (PhD), FCC
Dan Högberg (Professor), University of Skövde
Erik Brolin (PhD), University of Skövde
Fredrik Ore (PhD student, lic.), Scania / Mälardalen University
Pamela Ruiz Castro (BSc), University of Skövde
Niclas Delfs (MSc), FCC
Peter Mårdberg (MSc), FCC
Academic institutions / Research organisations
- Chalmers University of Technology
- Fraunhofer-Chalmers Centre (FCC)
- University of Skövde
- Volvo Group Trucks Technology
- GKN Aerospace Engine Systems Sweden
- Scania CV
- Volvo Car Group
The project is funded by:
- Vinnova, FFI - Fordonsstrategisk Forskning och Innovation
- The participating organisations
Högberg, D., Brolin, E. and Hanson, L. (2018). Concept of Formalized Test Procedure for Proactive Assessment of Ergonomic Value by Digital Human Modelling Tools in Lean Product Development. Advances in Human Factors in Simulation and Modeling. Cassenti, D.N. (Ed.). AHFE Conference, pp. 425-436, ISBN 978-3-319-60590-6.
Brolin, E., Högberg, D., Hanson, L. and Björkenstam, S. (2017). Virtual test persons based on diverse anthropometric data for ergonomics simulations and analysis. Proceedings of the NES 2017 Conference "Joy at Work", August 2017, Lund University, ISBN 978-91-7753-152-4.
Ruiz Castro, P., Mahdavian, N., Högberg, D., Ore, F., Brolin, E. and Hanson, L. (2017). IPS IMMA for designing human-robot collaboration workstations. In proceedings of DHM 2017, Fifth International Digital Human Modeling Symposium, Bonn, Germany, June 2017.
Ore, F., Vemula, B.R., Hanson, L., and Wiktorsson, M. (2016). Human - Industrial Robot Collaboration: Application of Simulation Software for Workstation Optimisation. Procedia CIRP, Vol. 44. pp. 181-186.