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Training VLA Models

Training VLA models requires large-scale datasets that connect visual observations, language descriptions, and robotic actions.

Data Requirements​

  • Large-scale robot manipulation datasets
  • Multimodal alignment (vision, language, action)
  • Data quality and diversity considerations

Training Techniques​

  • Self-supervised learning
  • Reinforcement learning with human feedback
  • Few-shot and zero-shot learning