AIBullisharXiv – CS AI · 6h ago6/10
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Learning Action Priors for Cross-embodiment Robot Manipulation
Researchers propose a two-stage training framework for Vision-Language-Action (VLA) models that pretrains the action module with motion priors before multimodal alignment. This approach enables robots to learn temporal dynamics more efficiently and generalizes better across different embodiments and real-world tasks with limited data.