Data-driven Friction for Real-time Applications

dc.contributor.authorNassif, Loïcen_US
dc.contributor.authorZoubir, O.en_US
dc.contributor.authorAndrews, Sheldonen_US
dc.contributor.authorKry, Paul G.en_US
dc.contributor.editorZordan, Victoren_US
dc.date.accessioned2024-08-20T08:28:27Z
dc.date.available2024-08-20T08:28:27Z
dc.date.issued2024
dc.description.abstractWe present a novel data-driven approach for simulating friction between rigid bodies that captures the rich diversity of frictional behaviors that arises due to the complex interactions of micro-asperities of different surfaces. Rather than performing detailed simulations with expensive collision detection, we parameterize our friction model based on aggregate features of pairs of surfaces, such as the distribution of normals from each surfaces, which may be easily computed from a texture-based embedding. Our data-driven model is constructed by conducting real-world planar pushing experiments that capture the friction behavior of many different material pairs, and we then fit this data using a Gaussian process (GP). The trained GP model is then evaluated in a real-time simulation and used to update the limit surface used by the contact solver.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
dc.identifier.doi10.2312/sca.20241171
dc.identifier.isbn978-3-03868-263-9
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/sca.20241171
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/sca20241171
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Modeling and simulation
dc.subjectComputing methodologies → Modeling and simulation
dc.titleData-driven Friction for Real-time Applicationsen_US
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