Physics-based Sphere Packing for Lagrangian Mesh Morphing

Key points

• This paper studies tetrahedral meshes as the body representation for differentiable simulation and computational design.1
• Fixed-connectivity meshes degrade under large morphs, while remeshing from scratch discards node correspondence.1
• In soft-robot morphology design experiments, interior-node gradients improve swimming fitness by 0.73-1.07 over a matched surface-only variant, while voxelized versions of the same designs yield 32-63% lower fitness.1

Sources (1)

• [1]Physics-based Sphere Packing for Lagrangian Mesh Morphing
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 08:01 AM

  We present JamTet, a physics-based sphere-packing framework for volumetric meshing and morphing.

  This paper studies tetrahedral meshes as the body representation for differentiable simulation and computational design.

Extractive summary: sentences quoted from the sources.