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Foam: A Tool for Spherical Approximation of Robot Geometry

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arxiv 2503.13704 v1 pith:QNRNVEDY submitted 2025-03-17 cs.RO cs.CG

classification cs.ROcs.CG
keywords geometryfoamrobotsphericalcollisiontoolapproximationdemonstrate
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Many applications in robotics require primitive spherical geometry, especially in cases where efficient distance queries are necessary. Manual creation of spherical models is time-consuming and prone to errors. This paper presents Foam, a tool to generate spherical approximations of robot geometry from an input Universal Robot Description Format (URDF) file. Foam provides a robust preprocessing pipeline to handle mesh defects and a number of configuration parameters to control the level and approximation of the spherization, and generates an output URDF with collision geometry specified only by spheres. We demonstrate Foam on a number of standard robot models on common tasks, and demonstrate improved collision checking and distance query performance with only a minor loss in fidelity compared to the true collision geometry. We release our tool as an open source Python library and containerized command-line application to facilitate adoption across the robotics community.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. VAMP-MR: Vector-Accelerated Motion Planning and Execution for Multi-Robot-Arms

    cs.RO 2026-07 conditional novelty 6.0 of 10

    A vectorized SIMD multi-robot collision checker accelerates multi-arm motion planning, shortcutting, and temporal-plan-graph execution by 10–150x over FCL baselines.

  2. ReMoSPLAT: Reactive Mobile Manipulation Control on a Gaussian Splat

    cs.RO 2025-12 conditional novelty 6.0 of 10

    ReMoSPLAT achieves reactive mobile-manipulation collision avoidance by querying distances from a Gaussian Splat reconstruction, matching a ground-truth-SDF controller in simulation.

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