DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation

Real-world household robots require Vision-Language-Action (VLA) foundation models that can acquire reusable manipulation skills across diverse objects, task conditions, and household environments. Deformable-object folding is a representative challenge, requiring robots to handle clothing items from random initial states across varying categories, geometries, materials, and scenes. However, existing VLA systems commonly train separate policies for different object categories, while naively mixe

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ethics.ai (29 May 2026), “DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation,” evidence record 3430, https://ethics.ai/record/3430 (originally published by arXiv).

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