Literature DB >> 34586837

How adaptation, training, and customization contribute to benefits from exoskeleton assistance.

Katherine L Poggensee1, Steven H Collins1.   

Abstract

Exoskeletons can enhance human mobility, but we still know little about why they are effective. For example, we do not know the relative importance of training, how much is required, or what type is most effective; how people adapt with the device; or the relative benefits of customizing assistance. We conducted experiments in which naïve users learned to walk with ankle exoskeletons under one of three training regimens characterized by different levels of variation in device behavior. Assistance was also customized for one group. After moderate-variation training, the benefits of customized assistance were large; metabolic rate was reduced by 39% compared with walking with the exoskeleton turned off. Training contributed about half of this benefit and customization about one-quarter; a generic controller reduced energy cost by 10% before training and 31% afterward. Training required much more exposure than typical of exoskeleton studies, about 109 minutes of assisted walking. Type of training also had a strong effect; the low-variation group required twice as long as the moderate-variation group to become expert, and the high-variation group never acquired this level of expertise. Curiously, all users adapted in a way that resulted in less mechanical power from the exoskeleton as they gained expertise. Customizing assistance required less time than training for all parameters except peak torque magnitude, which grew slowly over the study, suggesting a longer time scale adaptation in the person. These results underscore the importance of training to the benefits of exoskeleton assistance and suggest the topic deserves more attention.

Entities:  

Mesh:

Year:  2021        PMID: 34586837     DOI: 10.1126/scirobotics.abf1078

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  8 in total

1.  A walk in the wild helps to tailor robotic leg exoskeletons.

Authors:  Carlos Rodriguez-Guerrero
Journal:  Nature       Date:  2022-10       Impact factor: 69.504

2.  Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit.

Authors:  Jinsoo Kim; Brendan T Quinlivan; Lou-Ana Deprey; Dheepak Arumukhom Revi; Asa Eckert-Erdheim; Patrick Murphy; Dorothy Orzel; Conor J Walsh
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

3.  Metabolically efficient walking assistance using optimized timed forces at the waist.

Authors:  Prokopios Antonellis; Arash Mohammadzadeh Gonabadi; Sara A Myers; Iraklis I Pipinos; Philippe Malcolm
Journal:  Sci Robot       Date:  2022-03-16

4.  Individualization of exosuit assistance based on measured muscle dynamics during versatile walking.

Authors:  R W Nuckols; S Lee; K Swaminathan; D Orzel; R D Howe; C J Walsh
Journal:  Sci Robot       Date:  2021-11-10

5.  General variability leads to specific adaptation toward optimal movement policies.

Authors:  Sabrina J Abram; Katherine L Poggensee; Natalia Sánchez; Surabhi N Simha; James M Finley; Steven H Collins; J Maxwell Donelan
Journal:  Curr Biol       Date:  2022-05-09       Impact factor: 10.900

6.  Optimized hip-knee-ankle exoskeleton assistance reduces the metabolic cost of walking with worn loads.

Authors:  Gwendolyn M Bryan; Patrick W Franks; Seungmoon Song; Ricardo Reyes; Meghan P O'Donovan; Karen N Gregorczyk; Steven H Collins
Journal:  J Neuroeng Rehabil       Date:  2021-11-07       Impact factor: 4.262

7.  How Does Added Mass Affect the Gait of Middle-Aged Adults? An Assessment Using Statistical Parametric Mapping.

Authors:  Vinayak Vijayan; Shanpu Fang; Timothy Reissman; Megan E Reissman; Allison L Kinney
Journal:  Sensors (Basel)       Date:  2022-08-17       Impact factor: 3.847

8.  Personalizing exoskeleton assistance while walking in the real world.

Authors:  Patrick Slade; Mykel J Kochenderfer; Scott L Delp; Steven H Collins
Journal:  Nature       Date:  2022-10-12       Impact factor: 69.504

  8 in total

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