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arXiv Robotics — research abstracts· Onur Beker, Andreas Ren\'e Geist, Georg Martius·· 21 hours agoSignalEditorial score75

Lodos-v2: An Efficient Primal Formulation of the Exact Frictional Contact Problem

Lodos-v2: An Efficient Primal Formulation of the Exact Frictional Contact Problem

Summary

This paper introduces Lodos-v2, a GPU-based simulation framework designed for high-throughput rigid-body dynamics with contact. It resolves limitations in its predecessor, Lodos-v1, by solving the exact frictional contact problem through sequential convex relaxations in primal form and extending the contact-group reparameterization scheme to integrate with full simulator constraints like joint limits. Experiments show improved throughput over established frameworks, with source code available on GitHub.

Editorial context

The authors present Lodos-v2, a GPU-based simulation framework that addresses physical artifacts like lift-off and creep found in its predecessor by solving the exact frictional contact problem via primal form convex relaxations.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Environment
SimulationOpen source S2
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arXiv:2611.08868v1 Announce Type: new Abstract: Lodos-v2 is a GPU-based simulation framework for massively parallel rigid-body dynamics with contact. It is specifically designed to achieve high throughput in scenes involving collisions among large numbers of detailed meshes. Its predecessor, Lodos-v1, had two main limitations. First, it solved the standard convex relaxation of cone-complementarity-based contact dynam

Open source S2

cs, enabling its integration with the other constraints of a full-fledged simulator. Experiments demonstrate that these contributions result in throughput improvements over established rigid-body simulation frameworks. The source code is available at https://github.com/martius-lab/lodos.

Open source S5

Source:arXiv Robotics — research abstracts · arxiv.org

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