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#artificial intelligence Preprint Oct 2026

Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers

Neural surrogate models for Partial Differential Equations (PDEs) on unstructured 3D geometries are often limited by poor generalization and the high cost of generating large-scale training datasets. Consequently, pre-training on massive datasets of related PDE dynamics has emerged as a critical alternative to enhance...

Luis Medrano-Navarro, G. Baldan, Qiang Liu et al. · 0 citations
Preprint Sep 2026

Humanoid Loco-Manipulation With Discrete VLA Model

Vision-language-action (VLA) models using discrete action tokens have proven effective for controling robotic arms on manipulation tasks. For a humanoid, however, the whole-body action space -- legs, torso, arms, and hands -- is far higher-dimensional and heterogeneous, raising tokenization, training, and real-time inf...

Wen-Xin Shao, Si-Qi Chai, Kun Li et al. · 0 citations

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