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dc.contributor.authorMujika, Andonien_US
dc.contributor.authorMerino, Saraen_US
dc.contributor.authorLeškovský, Peteren_US
dc.contributor.authorEpelde, Gorkaen_US
dc.contributor.authorOyarzun, Daviden_US
dc.contributor.authorOtaduy, Miguel Angelen_US
dc.contributor.editorCasas, Dan and Jarabo, Adriánen_US
dc.date.accessioned2019-06-25T16:20:41Z
dc.date.available2019-06-25T16:20:41Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-093-2
dc.identifier.urihttps://doi.org/10.2312/ceig.20191197
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20191197
dc.description.abstractCaenorhabditis elegans (C. elegans) is a roundworm that, thanks to its combination of biological simplicity and behavioral richness, offers an excellent opportunity for initial experimentation of many human diseases. In this work, we introduce a locomotion model for C. elegans, which can enable in-silico validation of behavioral experiments prior to physical experimentation with actual C. elegans specimens. Our model enables interactive simulation of self-propelling C. elegans, using as sole input biologically inspired muscle forces and frictional contact. The key to our model is a simple locomotion control strategy that activates selected natural vibration modes of the worm. We perform an offline analysis of the natural vibration modes, select those that best match the deformation of the worm during locomotion, and design force profiles that activate these vibration modes in a coordinated manner. Together with force compensation for momentum conservation and an anisotropic friction model, we achieve locomotions that match qualitatively those of real-world worms. Our approach is general, and could be extended to the locomotion of other types of animals or characters.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectPhysical simulation
dc.subjectMotion processing
dc.titleModal Locomotion of C. elegansen_US
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.description.sectionheadersFull Papers
dc.identifier.doi10.2312/ceig.20191197
dc.identifier.pages1-8


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    ISBN 978-3-03868-093-2

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