Cargando…
Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomer-based artificial muscle
Electroactive polymer actuators are important for soft robotics, but can be difficult to control because of compliance, creep and nonlinearities. Because biological control mechanisms have evolved to deal with such problems, we investigated whether a control scheme based on the cerebellum would be u...
Autores principales: | Wilson, Emma D., Assaf, Tareq, Pearson, Martin J., Rossiter, Jonathan M., Anderson, Sean R., Porrill, John, Dean, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046955/ https://www.ncbi.nlm.nih.gov/pubmed/27655667 http://dx.doi.org/10.1098/rsif.2016.0547 |
Ejemplares similares
-
Biohybrid Control of General Linear Systems Using the Adaptive Filter Model of Cerebellum
por: Wilson, Emma D., et al.
Publicado: (2015) -
Plant-inspired pipettes
por: Nakamura, Keigo, et al.
Publicado: (2018) -
Spider webs inspiring soft robotics
por: Vollrath, Fritz, et al.
Publicado: (2020) -
Nonlinear phenomena in models of the circadian clock
por: van Soest, Inge, et al.
Publicado: (2020) -
Can cerebellar input calibrate collicular topographic maps?
por: Porrill, John, et al.
Publicado: (2010)