Human-in-the-loop Optimisation in Robot-assisted Gait Training Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2510.05780
Wearable robots offer a promising solution for quantitatively monitoring gait and providing systematic, adaptive assistance to promote patient independence and improve gait. However, due to significant interpersonal and intrapersonal variability in walking patterns, it is important to design robot controllers that can adapt to the unique characteristics of each individual. This paper investigates the potential of human-in-the-loop optimisation (HILO) to deliver personalised assistance in gait training. The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) was employed to continuously optimise an assist-as-needed controller of a lower-limb exoskeleton. Six healthy individuals participated over a two-day experiment. Our results suggest that while the CMA-ES appears to converge to a unique set of stiffnesses for each individual, no measurable impact on the subjects' performance was observed during the validation trials. These findings highlight the impact of human-robot co-adaptation and human behaviour variability, whose effect may be greater than potential benefits of personalising rule-based assistive controllers. Our work contributes to understanding the limitations of current personalisation approaches in exoskeleton-assisted gait rehabilitation and identifies key challenges for effective implementation of human-in-the-loop optimisation in this domain.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2510.05780
- https://arxiv.org/pdf/2510.05780
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4414978856
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4414978856Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2510.05780Digital Object Identifier
- Title
-
Human-in-the-loop Optimisation in Robot-assisted Gait TrainingWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-10-07Full publication date if available
- Authors
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Andreas Christou, Andreas Sochopoulos, Elliot Lister, Sethu VijayakumarList of authors in order
- Landing page
-
https://arxiv.org/abs/2510.05780Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2510.05780Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2510.05780Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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