Improving short-term retention after robotic training by leveraging fixed-gain controllers

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dc.citation.journalTitleJournal of Rehabilitation and Assistive Technologies Engineering
dc.citation.volumeNumber6
dc.contributor.authorLosey, Dylan P.
dc.contributor.authorBlumenschein, Laura H.
dc.contributor.authorClark, Janelle P.
dc.contributor.authorO’Malley, Marcia K.
dc.date.accessioned2019-10-25T16:54:17Z
dc.date.available2019-10-25T16:54:17Z
dc.date.issued2019
dc.description.abstractIntroduction: When developing control strategies for robotic rehabilitation, it is important that end-users who train with those strategies retain what they learn. Within the current state-of-the-art, however, it remains unclear what types of robotic controllers are best suited for promoting retention. In this work, we experimentally compare short-term retention in able-bodied end-users after training with two common types of robotic control strategies: fixed- and variable-gain controllers. Methods: Our approach is based on recent motor learning research, where reward signals are employed to reinforce the learning process. We extend this approach to now include robotic controllers, so that participants are trained with a robotic control strategy and auditory reward-based reinforcement on tasks of different difficulty. We then explore retention after the robotic feedback is removed. Results: Overall, our results indicate that fixed-gain control strategies better stabilize able-bodied users’ motor adaptation than either a no controller baseline or variable-gain strategy. When breaking these results down by task difficulty, we find that assistive and resistive fixed-gain controllers lead to better short-term retention on less challenging tasks but have opposite effects on the learning and forgetting rates. Conclusions: This suggests that we can improve short-term retention after robotic training with consistent controllers that match the task difficulty..
dc.identifier.citationLosey, Dylan P., Blumenschein, Laura H., Clark, Janelle P., et al.. "Improving short-term retention after robotic training by leveraging fixed-gain controllers." <i>Journal of Rehabilitation and Assistive Technologies Engineering,</i> 6, (2019) Sage: https://doi.org/10.1177/2055668319866311.
dc.identifier.doihttps://doi.org/10.1177/2055668319866311
dc.identifier.urihttps://hdl.handle.net/1911/107505
dc.language.isoeng
dc.publisherSage
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject.keywordRobot-assisted rehabilitation
dc.subject.keywordcontrol systems
dc.subject.keywordneurorehabilitation
dc.subject.keywordmotor learning
dc.subject.keywordhaptic device
dc.titleImproving short-term retention after robotic training by leveraging fixed-gain controllers
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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