Electroactive polymer gels as probabilistic reservoir automata for computation
Summary: Electroactive Polymer (EAP) hydrogels are an active matter material used as actuators in soft robotics. Hydrogels exhibit active matter behavior through a form of memory and can be used to embody memory systems such as automata. This study exploited EAP responses, finding that EAP memory fu...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004222018302 |
| _version_ | 1798016172907560960 |
|---|---|
| author | Vincent Strong William Holderbaum Yoshikatsu Hayashi |
| author_facet | Vincent Strong William Holderbaum Yoshikatsu Hayashi |
| author_sort | Vincent Strong |
| collection | DOAJ |
| description | Summary: Electroactive Polymer (EAP) hydrogels are an active matter material used as actuators in soft robotics. Hydrogels exhibit active matter behavior through a form of memory and can be used to embody memory systems such as automata. This study exploited EAP responses, finding that EAP memory functions could be utilized for automaton and reservoir computing frameworks. Under sequential electrical stimulation, the mechanical responses of EAPs were represented in a probabilistic Moore automaton framework and expanded through shaping the reservoir’s energy landscape. The EAP automaton reservoir’s computational ability was compared with digital computation to assess EAPs as computational resources. We found that the computation in the EAP’s reaction to stimuli can be presented through automaton structures, revealing a potential bridge between EAP’s use as an integrated actuator and controller, i.e., our automaton framework could potentially lead to control systems wherein the computation was embedded into the media dynamical responses. |
| first_indexed | 2024-04-11T15:46:36Z |
| format | Article |
| id | doaj.art-249bcf80a1e043dbb9b45a79dc833d2b |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-11T15:46:36Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-249bcf80a1e043dbb9b45a79dc833d2b2022-12-22T04:15:31ZengElsevieriScience2589-00422022-12-012512105558Electroactive polymer gels as probabilistic reservoir automata for computationVincent Strong0William Holderbaum1Yoshikatsu Hayashi2Department of Biomedical Sciences and Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, Berkshire RG67BE, UKDepartment of Biomedical Sciences and Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, Berkshire RG67BE, UKDepartment of Biomedical Sciences and Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, Berkshire RG67BE, UK; Corresponding authorSummary: Electroactive Polymer (EAP) hydrogels are an active matter material used as actuators in soft robotics. Hydrogels exhibit active matter behavior through a form of memory and can be used to embody memory systems such as automata. This study exploited EAP responses, finding that EAP memory functions could be utilized for automaton and reservoir computing frameworks. Under sequential electrical stimulation, the mechanical responses of EAPs were represented in a probabilistic Moore automaton framework and expanded through shaping the reservoir’s energy landscape. The EAP automaton reservoir’s computational ability was compared with digital computation to assess EAPs as computational resources. We found that the computation in the EAP’s reaction to stimuli can be presented through automaton structures, revealing a potential bridge between EAP’s use as an integrated actuator and controller, i.e., our automaton framework could potentially lead to control systems wherein the computation was embedded into the media dynamical responses.http://www.sciencedirect.com/science/article/pii/S2589004222018302Theoretical physicsMaterials sciencePolymers |
| spellingShingle | Vincent Strong William Holderbaum Yoshikatsu Hayashi Electroactive polymer gels as probabilistic reservoir automata for computation iScience Theoretical physics Materials science Polymers |
| title | Electroactive polymer gels as probabilistic reservoir automata for computation |
| title_full | Electroactive polymer gels as probabilistic reservoir automata for computation |
| title_fullStr | Electroactive polymer gels as probabilistic reservoir automata for computation |
| title_full_unstemmed | Electroactive polymer gels as probabilistic reservoir automata for computation |
| title_short | Electroactive polymer gels as probabilistic reservoir automata for computation |
| title_sort | electroactive polymer gels as probabilistic reservoir automata for computation |
| topic | Theoretical physics Materials science Polymers |
| url | http://www.sciencedirect.com/science/article/pii/S2589004222018302 |
| work_keys_str_mv | AT vincentstrong electroactivepolymergelsasprobabilisticreservoirautomataforcomputation AT williamholderbaum electroactivepolymergelsasprobabilisticreservoirautomataforcomputation AT yoshikatsuhayashi electroactivepolymergelsasprobabilisticreservoirautomataforcomputation |