Automatic Versus Manual Tuning of Robot-Assisted Gait Training

C. Bayón*, S. S. Fricke, H. van der Kooij, E.H.F. van Asseldonk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)
115 Downloads (Pure)


Robot-assisted gait training (RAGT) is a promising rehabilitation technique that is increasingly used in the clinic to improve walking ability after a neurological disorder. The effectiveness of RAGT might depend on the customization of the robotic therapy, which in most of the cases is done either manually by the clinical practitioner (MT) or by adaptive controllers developed to automatically adjust the assistance (AT). In this contribution we present a comparison of automatic versus manual tuning of RAGT, where we assessed the differences in the adjustment of the therapy for ten participants with neurological disorders (six stroke, four spinal cord injury). The AT approach reached stable assistance levels quicker than the MT approach. Moreover, the AT ensured a good performance for all subtasks of walking with lower assistance levels than the MT. Future clinical trials need to be performed to show whether these apparent advantages result in better clinical outcomes.

Original languageEnglish
Title of host publicationConverging clinical and engineering research on neurorehabilitation IV
Subtitle of host publicationProceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13-16, 2020
EditorsDiego Torricelli, Metin Akay, Jose L. Pons
Place of PublicationCham
Number of pages6
ISBN (Electronic)978-3-030-70316-5
ISBN (Print)978-3-030-70315-8
Publication statusPublished - 2022

Publication series

NameBiosystems and Biorobotics
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570


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