Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos
Published:Dec 15, 2025 08:31
•1 min read
•ArXiv
Analysis
This article describes a research paper on pretraining a Visual-Language-Action (VLA) model. The core idea is to improve the model's understanding of spatial relationships by aligning visual and physical information extracted from human videos. This approach likely aims to enhance the model's ability to reason about actions and their spatial context. The use of human videos suggests a focus on real-world scenarios and human-like understanding.
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