Passively addressed robotic morphing surface (PARMS) based on machine learning.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
21 Jul 2023
21 Jul 2023
Historique:
medline:
21
7
2023
pubmed:
21
7
2023
entrez:
21
7
2023
Statut:
ppublish
Résumé
Reconfigurable morphing surfaces provide new opportunities for advanced human-machine interfaces and bio-inspired robotics. Morphing into arbitrary surfaces on demand requires a device with a sufficiently large number of actuators and an inverse control strategy. Developing compact, efficient control interfaces and algorithms is vital for broader adoption. In this work, we describe a passively addressed robotic morphing surface (PARMS) composed of matrix-arranged ionic actuators. To reduce the complexity of the physical control interface, we introduce passive matrix addressing. Matrix addressing allows the control of
Identifiants
pubmed: 37478174
doi: 10.1126/sciadv.adg8019
pmc: PMC10361599
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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