Skip to main content

Challenges in Adaptive Robot-Assisted Gait Training: The Balancing Act of Minimizing Assistance While Preserving Safety

  • Conference paper
  • First Online:
Converging Clinical and Engineering Research on Neurorehabilitation IV (ICNR 2020)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 28))

Included in the following conference series:

Abstract

To maximize functional outcomes, rehabilitation strategies must provide challenging environments that encourage active participation of the users. Robotic gait trainers can provide adaptive and personalized environments that guide the patient as needed and encourage the patient to be active during the whole therapy session. However, even though research in neurological recovery may favor such approaches, they may be highly difficult to implement in practice. Here, we share some challenges in implementing adaptive robot-assisted gait training in practice.

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 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 449.99
Price excludes VAT (USA)
  • Durable hardcover 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

Similar content being viewed by others

References

  1. M.L. Latash, Movements that are both variable and optimal. J. Hum. Kinet. 34(1), 5–13 (2012)

    Article  Google Scholar 

  2. S. Maggioni et al., Robot-aided assessment of walking function based on an adaptive algorithm, in IEEE International Conference on Rehabilitation Robotics (ICORR) (2015)

    Google Scholar 

  3. J.L. Emken et al., Robotic movement training as an optimization problem: designing a controller that assists only as needed, in IEEE International Conference on Rehabilitation Robotics (ICORR) (2005)

    Google Scholar 

  4. S.S. Fricke et al., Automatic versus manual tuning of robot-assisted gait training in people with neurological disorders. J. Neuroeng. Rehabil. (2020)

    Google Scholar 

  5. S. Maggioni et al., A bio-inspired robotic test bench for repeatable and safe testing of rehabilitation robots, in IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) (2016)

    Google Scholar 

Download references

Acknowledgements

We thank Lars Lünenburger, Robert Riener, Marc Bolliger and Armin Curt for their contributions and support to the RAGA (Robot-Aided Gait Assessment) project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alejandro Melendez-Calderon .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Melendez-Calderon, A., Maggioni, S. (2022). Challenges in Adaptive Robot-Assisted Gait Training: The Balancing Act of Minimizing Assistance While Preserving Safety. In: Torricelli, D., Akay, M., Pons, J.L. (eds) Converging Clinical and Engineering Research on Neurorehabilitation IV. ICNR 2020. Biosystems & Biorobotics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-70316-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-70316-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70315-8

  • Online ISBN: 978-3-030-70316-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics