Scenarios of Use for a Modular Robotic Mobility Enhancement System for Profoundly Disabled Children in an Educational and Institutional Care Environment

  • Peter Mayer
  • Paul Panek
  • Georg Edelmayer
  • Marnix Nuttin
  • Wolfgang Zagler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4061)


In the framework of the EU funded MOVEMENT Project a novel modular robotic system is being developed which aims at supporting the mobility of elderly citizens and persons with disabilities. This paper outlines some of the use cases which were developed for the envisaged system with focus on assisting severely disabled children and their carers in an institutional environment. Six scenarios were developed and commented by nine professional carers. The paper presents and discusses the qualitative and quantitative data gained from user panel discussion. It was found that the concept and the use cases of MOVEMENT system were very well rated regarding utility which confirms the work of the consortium up to now. The future development activities towards the roll out and evaluation of the first MOVEMENT prototype platform are described.


Assistive Technology Movement System Disable Child Residential School Movement Project 
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  1. 1.
    Borgolte, U., Hoyer, H., Bühler, C., Heck, H., Hoelper, R.: Architectural Concepts of a Semi-autonomous Wheelchair. Intelligent and Robotic Systems 22, 233–353 (1998)CrossRefGoogle Scholar
  2. 2.
    Bühler, C., Heck, H., Humann, W.: User-Driven Human-Machine Interface Configuration for a Wheelchair with Complex Functionality. In: Anogianakis, G., Bühler, C., Soede, M. (eds.) Advancement of Assistive Technology, Proc of AAATE, pp. 375–380. IOS Press, Amsterdam (1997)Google Scholar
  3. 3.
    D1.1a - Report on User Abilities, Preferences and Needs, MOVEMENT Project Deliverable, to be published mid of 2006 on website of consortium [12] Google Scholar
  4. 4.
    Edelmayer, G., Van Brussel, H., Demeester, E., Hüntemann, A., Kronreif, G., Mayer, P., Vanacker, G., Vanhooydonck, D., Zagler, W.L., Nuttin, M.: Enhanced User Interface for Power Wheelchairs Developed in the MOVEMENT Project. In: EMBEC 2005 3rd Europ. Medical & Biolog Eng. Conf., Prague, IFMBE Proceedings, vol. 11 (2005), ISSN 1727-1983; 4 SGoogle Scholar
  5. 5.
    Gelderblom, G.J., Kronreif, G., Pisetti, A., Mayer, P.: User need assessment in MOVEMENT. In: 3rd CWUAAT, Cambridge (2006)Google Scholar
  6. 6.
    Katevas, N.I., Sgouros, N.M., Tzafestas, S.G., et al.: The Autonomous Mobile Robot SENARIO: A Sensor-Aided Intelligent Navigation System for Powered Wheelchairs. IEEE Robotics Automation Magazine, 60–70 (December 1997)Google Scholar
  7. 7.
    Axel, L.: Avoiding Mode Confusion in Service Robots – The Bremen Autonomous Wheelchair as an Example. In: Mokhtari, M. (ed.) Integration of Assistive Technology in the Information Age, Conf Rehabilitation Robotics, pp. 162–167. IOS Press, Amsterdam (2001)Google Scholar
  8. 8.
    Lankenau, A., Rofer, T.: A safe and versatile mobility assistant. IEEE Robotics and Automation Magazine 8(1), 29–37 (2001)CrossRefGoogle Scholar
  9. 9.
    Levine Simon, P., Bell David, A., et al.: The NavChair Assistive Wheelchair Navigation System. IEEE Trans. on Rehab. Engineering 7(4), 443–451 (1999)CrossRefGoogle Scholar
  10. 10.
    Rauhala, M., Wagner, I.: Ethical Review - A Continuous Process in an Assistive Technology Project. In: Proc. AAATE conf., vol. 16, pp. 31–35. IOS Press, Amsterdam (2005)Google Scholar
  11. 11.
    Yoshio, M., Tomoyuki, I., Tsukasa, O.: Development of Intelligent Wheelchair System with Face and Gaze Based Interface. In: Proceedings of the 10th IEEE International Workshop on Robot and Human Communication (ROMAN 2001), pp. 262–267 (2001)Google Scholar
  12. 12.
  13. 13.
    Odor, P., Watson, M.: Learning through Smart Wheelchairs, Call Centre, Univ. of Edinburgh (1994)Google Scholar
  14. 14.
    Pollack, M.E., Engberg, S., Matthews, J.T., Thrun, S., Brown, L., et al.: Pearl: A Mobile Robotic Assistant for the Elderly. In: AAAI Workshop on Automation as Eldercare (2002)Google Scholar
  15. 15.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Peter Mayer
    • 1
  • Paul Panek
    • 1
  • Georg Edelmayer
    • 1
  • Marnix Nuttin
    • 2
  • Wolfgang Zagler
    • 1
  1. 1.fortec – Research Group on Rehabilitation TechnologyVienna Univ. of TechnologyViennaAustria
  2. 2.Katholieke Universiteit Leuven, PMA 

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