A Convex Formulation of Frictional Contact for the Material Point Method and Rigid Bodies

In this paper, we introduce a novel convex formulation that seamlessly integrates the Material Point Method (MPM) with articulated rigid body dynamics in frictional contact scenarios. We extend the linear corotational hyperelastic model into the realm of elastoplasticity and include an efficient return mapping algorithm. This approach is particularly effective for MPM simulations involving significant deformation and topology changes, while preserving the convexity of the optimization problem. Our method ensures global convergence, enabling the use of large simulation time steps without compromising robustness. We have validated our approach through rigorous testing and performance evaluations, highlighting its superior capabilities in managing complex simulations relevant to robotics. Compared to previous MPM-based robotic simulators, our method significantly improves the stability of contact resolution — a critical factor in robot manipulation tasks. We make our method available in the open-source robotics toolkit, Drake. The supplemental video is available here.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801598
Citations
5
Primary Topic
Contact Mechanics and Variational Inequalities
Type
article
Field-Weighted Citation Impact
1.81
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article

A Convex Formulation of Frictional Contact for the Material Point Method and Rigid Bodies

Zeshun Zong, Xuchen Han, Chenfanfu Jiang
5 citations
Contact Mechanics and Variational Inequalities
1.81
article

A Convex Formulation of Frictional Contact for the Material Point Method and Rigid Bodies

Zeshun Zong, Xuchen Han, Chenfanfu Jiang
article en
5 citations

Abstract

In this paper, we introduce a novel convex formulation that seamlessly integrates the Material Point Method (MPM) with articulated rigid body dynamics in frictional contact scenarios. We extend the linear corotational hyperelastic model into the realm of elastoplasticity and include an efficient return mapping algorithm. This approach is particularly effective for MPM simulations involving significant deformation and topology changes, while preserving the convexity of the optimization problem. Our method ensures global convergence, enabling the use of large simulation time steps without compromising robustness. We have validated our approach through rigorous testing and performance evaluations, highlighting its superior capabilities in managing complex simulations relevant to robotics. Compared to previous MPM-based robotic simulators, our method significantly improves the stability of contact resolution — a critical factor in robot manipulation tasks. We make our method available in the open-source robotics toolkit, Drake. The supplemental video is available here.

Reduced inequalities
Openalex Percentile: Top 13%
Contact Mechanics and Variational Inequalities
1.81
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