Data-driven Friction for Real-time Applications
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We 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.
Description
CCS Concepts: Computing methodologies → Modeling and simulation
@inproceedings{10.2312:sca.20241171,
booktitle = {Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},
editor = {Zordan, Victor},
title = {{Data-driven Friction for Real-time Applications}},
author = {Nassif, Loïc and Zoubir, O. and Andrews, Sheldon and Kry, Paul G.},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-263-9},
DOI = {10.2312/sca.20241171}
}