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Vision-Language-Action Models for Driving

Examining the architecture of VLA models like Alpamayo-R1 and their application in autonomous vehicle decision-making.

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What is a VLA Model?

A VLA model takes multimodal inputs (video frames, sensor data, text commands) and outputs directly executable actions or high-level plans.

  • Vision: Encodes the scene (cars, pedestrians, signs).
  • Language: Provides reasoning and context (traffic laws, social norms).
  • Action: Predicts the trajectory or control signals (steering, acceleration).
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