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Assessment of Physical Exposure to Musculoskeletal Risks in Collaborative Robotics Using Dynamic Simulation

  • Pauline Maurice
  • Yvan Measson
  • Vincent Padois
  • Philippe Bidaud
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 544)

Abstract

Many industrial tasks cannot be executed by a robot alone. A way to help workers in order to decrease the risk of musculoskeletal disorders is to assist them with a collaborative robot. Yet assessing its usefulness to the worker remains costly because it usually requires a prototype. We propose a dynamic simulation framework to model the performing of a task jointly by a virtual manikin and a robot. It allows to measure physical quantities in order to perform an ergonomic assessment of the robot. Experiments are carried out on two different robots. The results show that the proposed simulation framework is helpful for designing collaborative robots. Further work includes enhancing the simulation realism and validation on a real robot.

Keywords

Contact Force Simulation Framework Real Robot Physical Exposure Shoulder Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bibliography

  1. AFNOR. NF EN 1005-4+A1, Safety of machinery - Human physical performance. French standard institute (AFNOR) - European committee for standardization, november 2008.Google Scholar
  2. P. Blanchonette. Jack human modelling tool: A review. Technical report, DTIC Document, 2010.Google Scholar
  3. J.E. Colgate, M. Peshkin, and S.H. Klostermeyer. Intelligent assist devices in industrial applications: a review. In Intelligent Robots and Systems, 2003.(IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on, volume 3, pages 2516–2521. IEEE, 2003.Google Scholar
  4. G. De Magistris, A. Micaelli, C. Andriot, J. Savin, and J. Marsot. Dynamic virtual manikin control design for the assessment of the workstation ergonomy, 2011.Google Scholar
  5. LI Guangyan and P. Buckle. Current techniques for assessing physical exposure to work-related musculoskeletal risks, with emphasis on posturebased methods. Ergonomics, 42(5):674–695, 1999.CrossRefGoogle Scholar
  6. C. Ha and Y. Roquelaure. Troubles musculo-squelettiques d’origine professionnelle en France. O`u en est-on aujourd’hui ? Bulletin épidémiologique hebdomadaire, (5-6):35–36, fvrier 2010.Google Scholar
  7. J.R. Jones, C.S. Huxtable, and J.T. Hodgson. Self-reported work-related illness in 2004/05. Technical report, Health, Safety and Executive, 2005.Google Scholar
  8. H. Kazerooni. Human-robot interaction via the transfer of power and information signals. Systems, Man and Cybernetics, IEEE Transactions on, 20(2):450–463, 1990.CrossRefGoogle Scholar
  9. M. Liu, A. Micaelli, P. Evrard, A. Escande, and C. Andriot. Interactive dynamics and balance of a virtual character during manipulation tasks. In Robotics and Automation, 2011. Proceedings. ICRA’11 IEEE International Conference on. IEEE, 2011.Google Scholar
  10. J.M. Porter, K. Case, R. Marshall, D. Gyi, and R. Sims Neé Oliver. Beyond Jack and Jill: designing for individuals using HADRIAN. International Journal of Industrial Ergonomics, 33(3):249–264, 2004.CrossRefGoogle Scholar
  11. B. Silverstein and D. Adams. Workrelated musculoskeletal disorders of the neck, back, and upper extremity in Washington State, 1995-2003. Technical report, Safety and Health Assessment and Research for Prevention (SHARP), Washington State Department of Labor and Industries, 2005.Google Scholar

Copyright information

© CISM, Udine 2013

Authors and Affiliations

  • Pauline Maurice
    • 1
  • Yvan Measson
    • 1
  • Vincent Padois
    • 2
  • Philippe Bidaud
    • 2
  1. 1.CEA LISTFontenay-aux-RosesFrance
  2. 2.Université Pierre Et Marie CurieParisFrance

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