Skip to main content

BioMotionBot – A New 3D Robotic Manipulandum with End-Point Force Control

  • Conference paper
Intelligent Robotics and Applications (ICIRA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7102))

Included in the following conference series:

  • 3191 Accesses

Abstract

In this paper we present the design of a new 3D robotic manipulandum that will be used in human motor-control research and additionally enables physiotherapists to design tailor-made robotic therapies. Moreover, it offers the opportunity to develop completely new types of movement-specific coordination and condition training programs in sports. The presented manipulandum has a special designed 3D kinematics that allows movements in 3D space while maintaining its orientation. The paper contains an overview of the mechanical design, the electronic components, the user interface, the design of the control system as well as a first performance test.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kawato, M.: Internal models for motor control and trajectory planning. Current Opinion in Neurobiology 9, 718–727 (1999)

    Article  Google Scholar 

  2. Lackner, J.R., DiZio, P.: Motor control and learning in altered dynamic environments. Current Opinion in Neurobiology 15, 653–659 (2005)

    Article  Google Scholar 

  3. Scott, S.H., Norman, K.E.: Computational approaches to motor control and their potential role for interpreting motor dysfunction. Current Opinion in Neurology 16, 693–698

    Google Scholar 

  4. Smith, M.A., Brandt, J., Shadmehr, R.: Motor disorder in Huntington’s disease begins as a dysfunction in error feedback control. Nature 403, 544–549 (2000)

    Article  Google Scholar 

  5. Kwakkel, G., Kollen, B., Krebs, H.: Effects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review. Neurorehabilitation and Neural Repair 22, 111–121 (2008)

    Article  Google Scholar 

  6. Howard, I.S., Ingram, J.N., Wolpert, D.M.: A modular planar robotic manipulandum with end-point torque control. Journal of Neuroscience Methods 181, 199–211 (2009)

    Article  Google Scholar 

  7. Shadmehr, R., Mussa-Ivaldi, F.A.: Adaptive representation of dynamics during learning of a motor task. The Journal of Neuroscience 14(5), 3208–3224 (1994)

    Google Scholar 

  8. Stock, M., Miller, K.: Optimal kinematic design of spatial parallel manipulators: application to linear delta robot. Journal of Mechanical Design 125, 292–301 (2003)

    Article  Google Scholar 

  9. Van Der Linde, R.Q., Lammertse, P.: HapticMaster–a generic force controlled robot for human interaction. Industrial Robot: An International Journal 30(6), 515–524 (2003)

    Article  Google Scholar 

  10. Ottnad, J.: Topologieoptimierung von Bauteilen in dynamischen und geregelten Systemen, Dissertation (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bartenbach, V., Wilging, K., Burger, W., Stein, T. (2011). BioMotionBot – A New 3D Robotic Manipulandum with End-Point Force Control. In: Jeschke, S., Liu, H., Schilberg, D. (eds) Intelligent Robotics and Applications. ICIRA 2011. Lecture Notes in Computer Science(), vol 7102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25489-5_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25489-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25488-8

  • Online ISBN: 978-3-642-25489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics