Data · collection · 2016
Supplementary material from "Gait control in a soft robot by sensing interactions with the environment using self-deformation"
Listed in DataCite
All animals use mechanosensors to help them move in complex and changing environments.
Description
With few exceptions, these sensors are embedded in soft tissues that deform in normal use such that sensory feedback results from the interaction of an animal with its environment. Useful information about the environment is expected to be embedded in the mechanical responses of the tissues during movements.
To explore how such sensory information can be used to control movements, we have developed a soft-bodied crawling robot inspired by a highly tractable animal model, the tobacco hornworm Manduca sexta . This robot uses deformations of its body to detect changes in friction force on the substrate. This information is used to provide local sensory feedback for coupled oscillators that control the robot's locomotion.
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The validity of the control strategy is demonstrated with both simulation and a highly deformable three-dimensionally printed soft robot. The results show that very simple oscillators are able to generate propagating waves and crawling/inching locomotion through the interplay of deformation in different body parts in a fully decentralized manner. Additionally, we confirmed numerically and experimentally that the gait pattern can switch depending on the surface contact points.
These results are expected to help in the design of adaptable, robust locomotion control systems for soft robots and also suggest testable hypotheses about how soft animals use sensory feedback.
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- Repository landing page figshare.com/collections/Supplementary_material_from_Gait_control_in_a_soft… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.3580724.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- CC-BY creativecommons.org/licenses/by/4.0 ↗
license · from DataCite
- IsSupplementTo 10.1098/rsos.160766 doi.org/10.1098/rsos.160766 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.3580724.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.3580724.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Electrical engineering, electronic engineering, information engineering · Mathematics
- Inferred from text
- Simulation 75%
Related
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.3580724.v1 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:mathematics | source · DataCite | connector:datacite@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
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