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      University of Skövde, link to startpage

      CROMM

      Research Group
      Resarch Environment

      Quick Facts

      Full project name

      The CROMM (Creation of Muscle Manikins) project

      Duration

      January 2013 – December 2016

      This page gives overall information about the project.

      The CROMM (Creation of Muscle Manikins) project (Vinnova Dnr 2012-04584) will result in a user friendly and highly automated software that can be used in digital production preparation for the optimisation of human centred production systems that allow industry partners to:

      • predict, visualise and evaluate musculoskeletal load on workers interacting with products and production systems.
      • increase productivity in the product and production preparation process by performing production balancing in parallel with musculoskeletal load analyses on workers. 

      Duration

      2013-2016

      Project leader

      Lars Hanson, Scania AB / Chalmers / University of Skövde
      Telephone: +46 707-890272

      Co-project leaders

      Johan S Carlson, FCC (Fraunhofer-Chalmers Centre)
      Dan Högberg, University of Skövde

      Senior researchers

      Lars Hanson (PhD/Professor), Scania AB / Chalmers / University of Skövde
      Johan S Carlson (PhD), FCC
      Robert Bohlin (PhD), FCC
      Dan Högberg (PhD/Associate Professor), University of Skövde
      Johan Nyström (PhD), FCC
      Staffan Björkenstam (MSc), FCC

      PhD students

      Erik Brolin, University of Skövde / Chalmers (now PhD)
      Ali Keyvani, University West / Chalmers (now PhD)
      Ida-Märta Rhén, Chalmers / Karolinska Institutet / FCC
      Fredrik Ore, Scania / Mälardalen University (now Lic.)

      Research assistants

      Niclas Delfs, FCC
      Peter Mårdberg, FCC
      Stefan Gustafsson, FCC
      Nicklas Damgren, University of Skövde

      Degree project students

      Elma Bašić, KTH, Scania
      Malin Idoffsson, KTH, Scania
      Víctor Aguilar, Miguel Hernandez University, Alicante, Spain / Scania
      Lovisa Kullberg, Högskolan i Halmstad / Volvo Cars, Scania, Volvo Group
      Luca Caltagirone, Chalmers / FCC

      Partners

      Academic institutions / Research organisations

      - Chalmers University of Technology (VEC partner)
      - Fraunhofer-Chalmers Centre (FCC)
      - University of Skövde (VEC partner)
      - University West

      Industrial partners

      - Combitech Systems AB
      - International Automotive Components Group Sweden AB (IAC)
      - Scania CV AB
      - Virtual Manufacturing Sweden AB
      - Volvo Car Corporation
      - Volvo Technology AB

      Funding 

      The project is funded by:
      - Vinnova, FFI - Fordonsstrategisk Forskning och Innovation
      - The participating organisations

      External Links

      Vinnova

      Publications

      Brolin, E. (2016). Anthropometric diversity and consideration of human capabilities - Methods for virtual product and production development, Doctoral Thesis, Department of Product and Production Development, Chalmers, Sweden.

      Brolin, E., Högberg, D., Hanson, L., Örtengren, R. (2019). Development and Evaluation of an Anthropometric Module for Digital Human Modelling Systems. International Journal of Human Factors Modelling and Simulation, Vol. 7(1), pp. 47-70.

      Brolin, E., Högberg, D., Hanson, L., Örtengren, R. (2017). Adaptive regression model for prediction of anthropometric data. International Journal of Human Factors Modelling and Simulation, Vol. 5(4), 285-305.

      Ore, F., Reddy Vemula, B., Hanson, L. and Wiktorsson, M. (2016). Human-Industrial Robot Collaboration – Optimisation of Handover Position. In 6th CIRP CATS 2016. Gothenburg, Sweden: Procedia CIRP.

      Brolin, E., Högberg, D., Hanson, L., Örtengren, R. (2017). Adaptive regression model for synthesizing anthropometric population data. International Journal of Industrial Ergonomics, Vol. 59, 46-53.

      Brolin, E., Högberg, D., Hanson, L., Örtengren, R. (2016). Generation and Evaluation of Distributed Cases by Clustering of Diverse Anthropometric Data. International Journal of Human Factors Modelling and Simulation, Vol 5(3), 210-229.

      Högberg, D., Hanson, L., Bohlin, R. and Carlson, J.S. (2016). Creating and shaping the DHM tool IMMA for ergonomic product and production design. International Journal of Digital Human, Vol. 1, No. 2, pp.132-152.

      Ore, F. (2015). Human − industrial robot collaboration : Simulation, visualisation and optimisation of future assembly workstations. Mälardalen University Press Licentiate Theses: 211. 2015: Västerås : Mälardalen University.

      Bjorkenstam, S., Carlson, J.S., Lennartson, B. (2015). Exploiting sparsity in the discrete mechanics and optimal control method with application to human motion planning. Proceedings of 2015 IEEE International Conference on Automation Science and Engineering (CASE), pp.769-774, 24-28 Aug. 2015
      doi: 10.1109/CoASE.2015.7294174.

      Ore, F., Hanson, L., Delfs, N. and Wiktorsson, M. (2015). Human industrial robot collaboration - development and application of simulation software. International Journal of Human Factors Modelling and Simulation, 5(2): pp. 164-185.

      Högberg, D., Brolin, E. and Hanson, L. (2015). Accommodation levels for ellipsoid versus cuboid defined boundary cases. Procedia Manufacturing, Volume 3, 2015, pp. 3702-3708.

      Högberg, D., Brolin, E. and Hanson, L. (2015). Identification of redundant boundary cases. Proceedings of the 19th Triennial Congress of the International Ergonomics Association. Lindgaard, G. and Moore, D. (Eds.), Melbourne, Australia, 9-14 August, 2015.

      Keyvani, A. (2014). Structuring and use of motion data for computer manikin work task simulations, Doctoral Thesis, Department of Product and Production Development, Chalmers, Sweden.

      Mårdberg, P., Carlson, J.S., Bohlin, R., Delfs, N., Gustafsson, S., Högberg, D. and Hanson, L. (2014). Using a Formal High-Level Language and Automated Manikin to Automatically Generate Assembly Instructions. International Journal of Human Factors Modelling and Simulation (IJHFMS), Vol. 4, No. 3/4, pp. 233-249.

      Högberg, D., Brolin, E. and Hanson, L. (2014). Basic Method for Handling Trivariate Normal Distributions in Case Definition for Design and Human Simulation. Advances in Applied Digital Human Modeling. Duffy, V.G. (Ed.). AHFE Conference, pp. 27-40, ISBN 978-1-4951-2094-7.

      Brolin, E., Högberg, L. and Hanson, L. (2014). Design of a Digital Human Modelling Module for Consideration of Anthropometric Diversity. Advances in Applied Digital Human Modeling. Duffy, V.G. (Ed.). AHFE Conference, pp. 114-120, ISBN 978-1-4951-2094-7.

      Ore, F., Hanson, L., Delfs, N. and Wiktorsson, M. (2014). Virtual evaluation and Optimisation of industrial Human-Robot Cooperation: An Automotive Case Study. Proceedings of DHM 2014, Third International Digital Human Modeling Symposium, Japan, May 2014.

      Brolin, E., Hanson, L. and Högberg, D. (2014). Digital human arm models with variation in size, strength and range of motion. Proceedings of DHM 2014, Third International Digital Human Modeling Symposium, Japan, May 2014.

      Hanson, L., Högberg, D., Carlson, J.S., Bohlin, R., Brolin, E., Delfs, N., Mårdberg, P., Gustafsson, S., Keyvani, A., Rhen, I-M. (2014). IMMA – Intelligently moving manikins in automotive applications. Proceeding of ISHS 2014, Third International Summit on Human Simulation, Japan, May 2014.

      Delfs, N., Bohlin, R., Hanson, L., Högberg, D. and Carlson, J.S. (2013). Introducing Stability Of Forces To The Automatic Creation Of Digital Human Postures. Proceedings of DHM 2013, Second International Digital Human Modeling Symposium, USA, June 2013.

      Brolin, E., Hanson, L., Högberg, D. and Örtengren, R. (2013). Adaptive Regression Model for Prediction of Anthropometric Variables. Proceedings of DHM 2013, Second International Digital Human Modeling Symposium, USA, June 2013.

      Keyvani, A., Högberg, D., Hanson, L., Lämkull, D., Delfs, N., Rhen, I.M. and Örtengren, R. (2013). Ergonomics risk assessment of a manikin’s wrist movements – a test study in manual assembly. Proceedings of DHM 2013, Second International Digital Human Modeling Symposium, USA, June 2013.

      Master theses

      Bašić, E. and Idoffsson, M. (2016). Evaluation and Scania customisation of the Digital Human Modelling tool IMMA. Master thesis. KTH.

      Kullberg, L. (2014). Analysis and evaluation of the ergonomic simulation software IMMA. Master thesis. Halmstad University.

      Aguilar, V. (2014). Digital manikin control through Microsoft Kinect - Controlling digital human models in the assembly motion simulation tool IMMA in real-time through the motion sensor Microsoft Kinect. Master thesis. Miguel Hernández University, Spain, in cooperation with Scania.

       

      Published: 11/12/2020
      Edited: 11/12/2020
      Responsible: webmaster@his.se